Journal of Computer Aided Manufacturing and Automation ISSN: 3107-7404 (Online)

Authors : Priya Patel, Devesh Bhandari

Abstract : Additive manufacturing (AM), also known as 3D printing, is revolutionizing the manufacturing industry by enabling the creation of complex geometries and personalized products with reduced material waste. However, challenges persist in optimizing design and production processes for efficiency, quality, and speed. This paper explores the integration of machine learning (ML) techniques in AM, highlighting their potential in optimizing design workflows, predicting material properties, improving production speeds, and ensuring quality control. By analyzing various machine learning models such as supervised learning, reinforcement learning, and deep learning, the paper demonstrates their application in AM settings and provides insights into overcoming existing manufacturing limitations. The findings suggest that machine learning can play a pivotal role in transforming AM into a more efficient and scalable process.

Keywords : Machine learning, additive manufacturing, design optimization, production efficiency, quality control, deep learning, reinforcement learning, material prediction, 3D printing.

Author : Shashank Rathore

Abstarct : The integration of Internet of Things (IoT) and Edge Computing in automated manufacturing systems has ushered in a new era of efficiency, flexibility, and real-time decision-making. This paper explores the convergence of these technologies, focusing on their roles in enhancing automation, data collection, and processing at the edge. By addressing challenges such as latency, bandwidth constraints, and the need for real-time processing, IoT and Edge Computing have the potential to revolutionize manufacturing operations. The paper also highlights case studies, the benefits of this integration, and the future scope in various industries such as automotive, electronics, and heavy machinery.

Keywords : IoT, Edge Computing, Automated Manufacturing, Real-Time Processing, Industrial Automation, Smart Manufacturing, Industry 4.0, Data Analytics

Authors : Neelam Rathore, Akshay Thakur, Mayank Bisht

Abstarct : Robotic Process Automation (RPA) in manufacturing is revolutionizing the industry by automating repetitive tasks, improving efficiency, and reducing costs. This paper examines the impact of RPA in manufacturing, exploring its opportunities and challenges. The integration of RPA into manufacturing processes has led to significant improvements in production speed, quality, and safety. However, several challenges, including high initial investment, technical complexities, and workforce displacement, need to be addressed for successful adoption. This paper outlines key technological advancements, case studies, and future trends in RPA, offering insights into how manufacturers can leverage this technology to enhance operational effectiveness.

Keywords : Robotic Process Automation, Manufacturing, Automation, Industry 4.0, Efficiency, Challenges, Opportunities, Technology Integration, Workforce, Production

Authors : Vikram Singh, Kiran Sharma

Abstarct: The integration of Artificial Intelligence (AI) into Computer Numerical Control (CNC) machining systems has led to transformative improvements in manufacturing processes. This paper explores recent advancements in AI-driven CNC machining, focusing on their impact on precision and productivity. By incorporating AI algorithms such as machine learning, predictive maintenance, and real-time adaptive control, modern CNC systems are capable of optimizing machining parameters, detecting faults early, and adapting to complex and dynamic operational conditions. The paper discusses key AI technologies, their applications, and the benefits they bring to the manufacturing industry, particularly in industries requiring high precision, such as aerospace and automotive. Case studies and real-world implementations are provided to highlight the potential of AI to enhance both the efficiency and quality of CNC machining operations.

Keywords : AI-driven CNC machining, precision, productivity, machine learning, predictive maintenance, adaptive control, manufacturing industry.

Author : Arun Kumar Sharma

Abstract : This paper presents a comprehensive review of Digital Twin (DT) technology and its application in the context of smart manufacturing. Digital Twin technology is a key enabler of Industry 4.0, offering manufacturers the ability to create virtual models of physical assets, processes, and systems. By integrating real-time data, predictive analytics, and simulation techniques, digital twins help optimize operations, reduce downtime, and enhance decision-making. This paper explores the fundamental concepts of Digital Twin technology, its components, architecture, benefits, challenges, and the state-of-the-art advancements in its application across various manufacturing sectors. Moreover, we discuss the future trends and potential research areas that can drive further innovation in this field.

Keywords : Digital Twin, Smart Manufacturing, Industry 4.0, Virtual Models, Predictive Analytics, IoT, Cyber-Physical Systems

Authors: Priya Sharma, Sonu Mishra

Abstract: Cyber-Physical Systems (CPS) integrate computational algorithms and physical processes to create highly responsive and adaptive manufacturing environments. This paper explores the role of CPS in Computer-Aided Manufacturing (CAM), highlighting their ability to bridge the digital and physical worlds. The research examines the components and architecture of CPS, including sensors, actuators, and communication networks, and their application in CAM. Through detailed analysis and case studies, the paper demonstrates how CPS can enhance manufacturing flexibility, precision, and efficiency. The findings suggest that CPS can lead to significant advancements in manufacturing capabilities, enabling more agile and intelligent production systems.

Keywords: Cyber-Physical Systems, Sensors, Actuators, Communication Networks, Manufacturing Flexibility

Authors: Rakesh Patel, Anjali Sharma

Abstract: The concept of smart factories represents the future of manufacturing, where Computer-Aided Manufacturing (CAM) and automation technologies are fully integrated with the Internet of Things (IoT), cloud computing, and artificial intelligence. This paper explores the development and implementation of smart factories, highlighting the technologies involved and their impact on manufacturing processes. The research examines the benefits of smart factories, including increased production efficiency, enhanced product customization, and real-time monitoring and control. Case studies from various industries illustrate the practical applications and advantages of smart factory technologies. The paper concludes with a discussion on the challenges and future directions for smart factory development.

Keywords: Smart Factories, Internet of Things, Cloud Computing, Real-Time Monitoring, Customization

Authors: Meena Patel, Sanjay Prakash

Abstract: The aerospace industry demands high precision and efficiency in manufacturing processes, which can be significantly enhanced through automation and Computer-Aided Manufacturing (CAM). This paper explores the application of automation technologies in aerospace manufacturing, including the use of robotics, automated guided vehicles (AGVs), and advanced CAM software. The research investigates the impact of these technologies on production speed, accuracy, and cost-effectiveness. Through a series of case studies, the paper demonstrates how automation has led to substantial improvements in the manufacturing of aerospace components. The findings highlight the critical role of automation in meeting the stringent quality and performance standards of the aerospace industry.

Keywords: Aerospace Manufacturing, Automation, Robotics, Precision, Efficiency

Authors: Anjali Verma, Raghav Desai

Abstract: The integration of Artificial Intelligence (AI) into Computer-Aided Manufacturing (CAM) is revolutionizing the manufacturing industry by introducing unprecedented levels of efficiency, precision, and adaptability. This paper explores the multifaceted role of AI in enhancing CAM, examining its impact on predictive maintenance, quality control, and the optimization of manufacturing processes. By leveraging machine learning, neural networks, and AI-driven simulations, CAM systems can significantly reduce production time, minimize errors, and improve product quality. The paper also discusses the challenges associated with AI integration, such as high initial investment, the need for skilled personnel, and ethical considerations. Through various case studies, the tangible benefits of AI in CAM are highlighted, demonstrating substantial improvements in downtime reduction and defect rate minimization. Furthermore, the collaborative potential between humans and AI, the implications for the workforce, and the environmental benefits of AI-enhanced CAM systems are examined. As AI technology continues to evolve, its integration into CAM promises to drive significant innovations and shape the future of manufacturing.

Keywords: Artificial Intelligence, Machine Learning, Neural Networks, Quality Control, Predictive Maintenance

Author: Mr. Ankit Patel

Abstract: Computer-Aided Manufacturing (CAM) and automation have revolutionized modern manufacturing processes by enhancing precision, reducing production time, and lowering costs. This paper explores the integration of CAM systems with advanced automation technologies to optimize production efficiency. By analyzing case studies and industry applications, the research highlights the benefits and challenges associated with this integration. The study focuses on the role of software in streamlining design to production workflows, the implementation of robotics in manufacturing lines, and the utilization of data analytics for real-time decision-making. The findings indicate significant improvements in production rates, product quality, and overall operational efficiency.

Keywords: Computer-Aided Manufacturing, Automation, Production Efficiency, Robotics, Data Analytics

Author : Rinku Kumar1, Pooja Verma2

Abstract : As the global manufacturing landscape grapples with environmental challenges, this paper delves into the pivotal role of Computer-Aided Manufacturing (CAM) in advancing sustainable practices. Focusing on material optimization and energy efficiency, the study investigates how CAM technologies act as catalysts for eco-friendly manufacturing. The primary objective is to provide nuanced insights into the potential of CAM systems to mitigate environmental impact and foster sustainability within the manufacturing sector. Drawing on an extensive analysis of existing literature, case studies, and practical examples, this paper underscores the pivotal significance of CAM in achieving environmentally conscious manufacturing practices. The findings are expected to contribute valuable knowledge for both industry practitioners and researchers seeking innovative solutions for sustainable manufacturing.

Keywords : Sustainable Manufacturing, Computer-Aided Manufacturing (CAM), Material Optimization, Energy Efficiency, Eco-Friendly Practices

Author : Jyoti Verma1, Prakash Chand2

Abstract : The integration of Computer-Aided Manufacturing (CAM) with robotics and automation has revolutionized modern manufacturing processes, significantly improving efficiency, precision, and overall productivity. This paper explores the synergy between CAM systems and robotics in the context of automated manufacturing. We examine the key components of CAM integration, the benefits it offers, and the challenges it presents. Additionally, case studies and empirical data are used to illustrate real-world applications and outcomes. The findings highlight the importance of CAM integration in achieving manufacturing excellence, and we conclude by discussing future trends and potential advancements in this field.

Keywords : Robotics, Automated Manufacturing Systems, Computer-Aided Manufacturing (CAM), Integration, Efficiency, Precision, Automation, Manufacturing Excellence.

Author: Mansi Sharma1, Jitendra Kumar2

Abstract: This paper explores the critical role of Computer-Aided Manufacturing (CAM) in enabling and enhancing Rapid Prototyping and Additive Manufacturing (AM) technologies. Rapid prototyping and 3D printing have revolutionized various industries by offering innovative design possibilities and efficient manufacturing processes. CAM plays a pivotal role in translating digital designs into physical objects, optimizing production workflows, and ensuring quality control. This paper investigates the integration of CAM with rapid prototyping and 3D printing, its impact on design iteration, cost effectiveness, and time savings, and discusses emerging trends and challenges in the field. Through a comprehensive analysis, this paper aims to shed light on the importance of CAM in advancing the capabilities of these transformative technologies.

Keywords :  Rapid Prototyping, 3D Printing, Computer-Aided Manufacturing (CAM), Additive Manufacturing, Digital Design, Workflow Optimization, Quality Control.

Author : Sonu Garg1, Vikesh Dube2

Abstract : This paper presents a comprehensive comparative analysis of leading Computer-Aided Manufacturing (CAM) software solutions, focusing on their performance in high-precision manufacturing environments. The primary objective is to evaluate and contrast the capabilities of various CAM systems to guide manufacturers in selecting the most appropriate software for their specific needs. The methodology employed encompasses a multi-faceted evaluation framework, assessing each software's accuracy, efficiency, user interface, and integration capabilities with other systems like CAD. A selection of widely-used CAM software, representative of the current market spectrum, was rigorously tested and analyzed. The study's findings reveal significant differences in performance metrics among the evaluated software, with some excelling in accuracy and precision, while others offer superior efficiency or user experience. The results also highlight the varying degrees of integration capabilities with other manufacturing systems. These insights are crucial for manufacturers in high-precision sectors, where selecting the right CAM software can markedly influence the quality, efficiency, and cost effectiveness of production processes. The paper concludes with recommendations based on the comparative analysis, providing a valuable resource for decision-makers in the manufacturing industry.

Keywords : CAM software, high-precision manufacturing, comparative analysis, performance evaluation, Industry 4.0

Author: Ashok Mishra1,Vivek Choudhary2

Abstract: Quality control and inspection are vital components of manufacturing processes, ensuring that products meet predefined standards and specifications. With the advent of Computer-Aided Manufacturing (CAM) systems, there is an opportunity to revolutionize quality assurance processes. This paper explores the role of CAM systems in enhancing quality control and inspection, focusing on automated techniques and their impact on efficiency, accuracy, and cost-effectiveness. Through case studies and empirical evidence, we demonstrate how CAM-driven inspection methods are reshaping the manufacturing landscape, contributing to improved product quality, reduced defects, and increased competitiveness.

Keywords:  CAM, Quality Control, Inspection, Quality Assurance, Automated Techniques, Manufacturing, Product Quality

Authors:Dr. Gajendra Patel, Raghunath Singh

Abstract:With the increasing concern for environmental sustainability, the integration of green design principles in various industries has become imperative. Computer-Aided Design (CAD) tools have emerged as powerful assets in the pursuit of sustainable practices across the architecture, engineering, and manufacturing sectors. This paper explores the role of CAD in advancing green design principles and achieving sustainability goals. We discuss the potential of computational tools to optimize resource utilization, reduce waste, and improve energy efficiency. Moreover, we delve into the challenges and opportunities associated with integrating sustainability into CAD processes. By highlighting recent advancements and case studies, we demonstrate the transformative impact of computational tools in promoting environmentally conscious design practices.

Keywords: Sustainability, Green Design, Computer-Aided Design (CAD), Computational Tools, Energy Efficiency, Waste Reduction, Lifecycle Assessment, Sustainable Material Selection, Biophilic Design, Generative Design, Artificial Intelligence, Environmental Impact, Green Building, Product Lifecycle Analysis.

Authors:Dr. Shankar Prasad, Rohan Singh

Abstract:Automation, driven by advancements in robotics, artificial intelligence (AI), and machine learning, has become a pervasive force in modern industries. This paper explores the impact of automation on various sectors, including manufacturing, healthcare, transportation, and services. We delve into the benefits and challenges of automation, its potential societal implications, and the role of humans in an increasingly automated world. Additionally, the paper examines the future of automation, considering potential job displacement, the need for reskilling and upskilling, and ethical considerations. Ultimately, the goal is to understand how automation is transforming industries and to address its implications for the workforce and society.

Keywords:Automation, manufacturing, robotics, artificial intelligence, Industry 4.0, efficiency, productivity, implementation, challenges, workforce, human-robot collaboration.

Authors:Soumitra Sarkar, Ankit Chouhan

Abstract:Additive Manufacturing (AM), commonly known as 3D printing, has emerged as a disruptive technology that revolutionizes traditional production processes and opens up new design possibilities. This paper explores the integration of Computer-Aided Manufacturing (CAM) systems with additive manufacturing technologies to optimize manufacturing processes, enhance product customization, and improve efficiency. We discuss the principles, advantages, and challenges associated with additive manufacturing and CAM integration, and highlight its impact on various industries. Furthermore, we examine the design opportunities enabled by this technology combination, showcasing real-world applications. This paper aims to provide an overview of the synergy between additive manufacturing and CAM, shedding light on its potential to transform production processes and unleash creative design possibilities.

Keywords: Additive Manufacturing, 3D Printing, Computer-Aided Manufacturing, CAM, Design Optimization, Production Processes, Customization, Industry Applications

Authors:Prithvi Pandey, Sumesh Patil

Abstract:Digital twin technology has gained significant attention in recent years as a powerful tool for bridging the gap between virtual and physical manufacturing environments. In Computer-Aided Manufacturing (CAM), the adoption of digital twin technology enables manufacturers to create virtual replicas of physical manufacturing systems, facilitating real-time monitoring, optimization, and decision-making. This paper explores the role of digital twin technology in CAM and its potential to revolutionize the manufacturing industry by improving efficiency, reducing costs, and enhancing overall productivity.

Keywords:Digital twin, Computer-Aided Manufacturing (CAM), Virtual manufacturing environment, Physical manufacturing environment, Real-time monitoring, Data analytics, Simulation, Optimization, Predictive maintenance Decision-making, Process improvement, Manufacturing efficiency

Authors:Dr. Ayushman Purohit, Prashant Rawat

Abstract:Computer Numerical Control (CNC) machining has revolutionized the manufacturing industry by enabling precise and efficient production of complex components. Recent advancements in CNC machining techniques have further enhanced its capabilities, leading to improved precision, efficiency, and productivity in precision manufacturing processes. This comprehensive research paper explores the recent advancements in CNC machining techniques and their impact on precision manufacturing. It provides an overview of CNC machining principles, applications, and significance, followed by a historical development of CNC machining and key milestones that have shaped its evolution. The paper then delves into the advancements in CNC machining technology, including hardware, software, automation, and tooling. It discusses state-of-the-art CNC machine tools, novel sensing and metrology techniques, and emerging trends such as digital twins, machine learning, and artificial intelligence. Furthermore, the paper evaluates the benefits and challenges associated with these advancements, analyze real-world applications in various industries, and provide insights into the future prospects and potential directions of CNC machining in precision manufacturing.

Keywords:Computer Numerical Control (CNC) machining, Precision manufacturing, Cutting Parameters, Machining Processes

Author:  Dr. Shruti Verma¹, Kunal Patel A

Abstract :This paper explores the technological and experiential differences between simple chatbots and social robots, two prominent forms of human-computer interaction tools. While both aim to facilitate communication between humans and machines, their modalities, capabilities, and contexts of use vary significantly. Chatbots operate primarily via text or voice on digital platforms, focusing on task-specific conversations. Social robots, on the other hand, integrate physical embodiment and social cues to provide a richer, human-like experience. This comparison analyzes their architecture, user perception, practical applications, and cognitive impact. By understanding these differences, researchers and developers can better align these technologies with educational, assistive, and commercial goals.

Keywords: - Chatbot, social robot, human-computer interaction, embodied AI, conversational agent, robotics, comparison.

Authors:- Vidyat Kularani, Santosh Bhargav

Abstract:- The influence of geometrical fin characteristics on mixed convection heat transfer from vertical rectangular fin arrays is investigated using experimental and CFD analysis. The heat transmission from rectangular, vertical plates using mixed convection has been studied. According to the findings, the majority of the job was done with numerous configurations in mind. Continuous state mixed convection heat transfer from vertical rectangular aluminium fins was studied experimentally. The experimental study carried out explores the influence of fin spacing, fin height, and fin length on heat dissipation performance from fin arrays.

Keywords:- Aspect Ratio, Rectangular Fins, Mixed Convection.

Authors:-A Jagroop Singh Bhalla, Harvinder Singh

Abstract:-A Centrifugal Impellers are a centre segment of aircraft engines. The machining nature of the impeller straightforwardly affects its service life and mechanical properties. However the complexity of the impellor blade surface and the requirement for a high degree of accuracy in the finished product means that the process for manufacture is complicated by the need to afford unimpeded access for the cutting tool. This paper describes research into CNC programming and the use of simulations to control the cutting tools reducing machining errors due to such factors as distortion collisions and interference. This is especially important where delicate and intricate machining is required as in the example of centrifugal descrned theis thesis. Therefore multi-axis NC machining theory tool envelope surface theory error surface theory error compensation  principles numerical simulation technology post processing development for five axis CNC machine tool of dual turn a table simulation and  optimization for NC machining of centrifugal impeller planning for machining process of impeller and other technical methods were comprehensively studied

Keywords:-A Centrifugal Impeller Post Procession Simulation Five –Axis Side Milling Machining Error Hyper Mill 

Authors:- Ravi Rawat, Prof. Smriti Srivastava

Abstract:-A contemporary vehicle wheel is described as a circular component meant to revolve on an axle bearing. Original equipment manufacturers use cutting-edge technology to develop and manufacture wheels in order to meet market demands. Computer aided design (CAD) software and analysis software are the primary technologies that greatly aid in the creation of wheel rims. We used CAD and analytic technologies to their utmost ability in our work. CATIA is used to model the wheel, which is then loaded into ANSYS for analysis. ANSYS software is used to reproduce the various powers, weight following up on the segment, and determine and review the results. In ANSYS programming, a solver mode calculates the bending moments, stresses, and deflections without manual mediation, reducing the time compared to the method for scientific counts by a person. ANSYS static analysis work is performed on SAPH 440 materials with variable geometry (proposals 1, 2, 3, 4, 5, 6) and their relative performances are noticed. Observing the results in this article, Proposal 6 has satisfied the criterion and is recommended for prototyping.

Keywords:-A CATIA, ANSYS, Stress, Wheel, Analysis

Authors:-Vibhor Jain, Ashish Singh

Abstract:-The goal is to analyse and compare the computational fluid dynamic analysis of ducts under three different working conditions: at home, in industry, and in a restaurant. A fluent analysis is performed on elliptical and circular cross-section ducts to determine the fluctuation of velocity and pressure magnitude at crucial duct points. Simulations in the ANSYS workbench are used to perform and validate the computational fluid dynamic analysis. The results of the aforementioned research were utilised to optimise the duct used in numerous applications, such as the house, industrial, and restaurant. Geometry is examined for various operating situations and velocity inputs.

Keywords:- Duct, Circular and Elliptical section, HVAC, Different working conditions.

Authors:-Shikha Bhatacharya, Suman Bedi, Geetanjali Rawat

 

Abstract:-Aluminum alloy casting is a typical industrial procedure that is widely employed in the global automobile sector. This method encourages the production of a fine, homogeneous, and equiaxed grain structure. Understanding the mechanism of grain refinement is critical because a refined microstructure leads to improved uniform mechanical characteristics and reduced hot tearing propensity of the alloy by enhancing liquid metal feeding ability. A sufficient volume of liquid fraction during the last stage of solidification ensures reduced shrinkage porosity and finer second phase distribution. Finer grain structure is now accomplished in the casting industry by adding grain refiner to the melt. Al-Ti, Al-Ti-B, and Al-Ti-C master alloys are the most often utilised inoculants. Al-5Ti-1B is typically added to molten aluminium at a level of.01 to.05 by weight of titanium. After the addition of grain refiner, the number of active nucleation sites in the melt begin to scatter and nucleate solid particles during solidification. There are two mechanisms of grain refinement: I the Nucleant effect, which promotes appropriate locations for heterogeneous nucleation of grains, and (ii) the Solute effect, which limits grain development by solute element segregation. TiAl3 and TiB2 particles have been shown to be the most prevalent heterogeneous nucleation particles for aluminium crystals. Cooling rates in the form of constitutional undercooling provide the necessary driving power for grain refining during solidification. Many scholars have contributed significantly to understanding the mechanism of grain refining in melt. However, the precise methods by which grain refining happens utilising the grain refiner are yet unknown. The function of the titanium solute in creating a growth limitation effect, (b) the thermodynamics of Al-Ti-based alloy systems, and (c) the heterogeneous nuclei of TiAl3 and TiB2 particles have all been studied experimentally and theoretically. The current study provides a review of grain refinement research that take into account both industrial practise and scientific elements of grain refining. For the scientific and industrial communities, the research will be valuable in analysing the performance of grain refiners.

Keywords:- Constitutional undercooling, Aluminum alloys, grain refinement, heterogeneous nucleation, solute effect.

Abstract:- The plasma generating process in the fusion reactor takes place at extremely high temperatures in the Toroidal vessel. The greater temperature may cause harm to the reactor's internal components. After the procedure is done, the tokamak is inspected on a regular basis for maintenance. A millimetre leak is also not authorised in such studies. Such leaks cannot be discovered without a suitable method, which is tough for a human to perform. The maintenance procedure entails the replacement of broken parts, which necessitates operations such as welding, vacuum cleaning, screw bolting and unbolting, pick and position the blanket, and so on. The tokamak's components are all massive and hefty. Because of the large area and effort needed in the maintenance process, a team of robotic manipulators will conduct much of the maintenance work in the reactor.

In this research, a 5 DOF Articulated Arm that can perform the maintenance task of a Tokamak vacuum vessel has been created and its efficiency has been assessed under the two essential conditions of a static robot and Kinematics. Forces are estimated at each joint of the prototype of real-time manipulator application, and defined actuators are examined for the provided payload. As a result, the end effector's payload capacity is established. The recommended model has a maximum payload capacity of 1 kilogramme. The prototype is mostly for the pick and place application. The CAD model was produced with CATIA-3D modelling software, and it was used to construct and analyse the articulated arm. Software solutions are being used to validate the kinematic simulation and the MBD Analysis. The Motion view module of HyperWorks'12 programme is used for MBD analysis. Hypermesh is used for static structural analysis.

Keywords:- Tokamak; ITER; MPD; VV; Articulated arm.

Authors:-Parul Srivastava, Aman Saxena

Abstract:-In today's world, the automobile industry is continually working toward the goal of producing lighter vehicles in order to improve fuel economy and reduce emissions. It is essential to design cars with the appropriate weight in order to have the best possible performance. The automotive industry is now utilising topology optimization and alternative materials in an effort to lower overall vehicle body weight. This is being accomplished through the optimization of vehicle designs. However, the revised design needs to satisfy a number of performance requirements, the most important of which are its stiffness and strength. The purpose of this study is to suggest an ideal design for the brake pedal that is utilised in the three-wheeler market by employing several methods of analysis, including theoretical, numerical, experimental, and topological optimization. This study focuses on finding ways to reduce the weight of an existing brake pedal without changing the material that it is made of, therefore the material that is used for the brake pedal has not been altered. Reverse engineering was used in conjunction with computer-aided design (CAD) software to create a digital model of an existing brake pedal. The pedal in question was used in a vehicle. The linear static stress analysis and modal analysis will serve as the foundation for the finite element analysis and topology optimization that will be carried out with the help of the Altair Opti-Struct programme. At long last, an improved brake pedal design that is less in weight but maintains the same level of performance will be put forth in conjunction with the current brake pedal.

Keywords:- Altair opti- struct, CAD, topology optimization

Author:-Deepak Kashyap

Abstract:-The global trend of industry is moving in the direction of the next industrial revolution. 4.0 in the industry developing a Computer Integrated Production (CIM) system that integrates the many operational and information processing tasks in design and manufacturing is becoming an increasingly significant goal for modern manufacturing firms. In spite of the fact that over four decades have been spent doing research, it is abundantly evident that new features are required to integrate and achieve a totally optimum process planning that can be fully compliant towards Smart Factory. Computer-Aided Process Planning, also known as CAPP, is an essential component in the creation of a CIM system, which is why many academics have concentrated their efforts in this area. In order to get a better understanding of the present state of the art of CAPP methodology, 96 different research publications were read and analysed. The following sections will examine the various CAPP methodologies that researchers have utilised in order to automate the various process planning responsibilities. This presentation will examine some of the major techniques that are involved in smart manufacturing, as well as some potential future developments.

Keywords:- Computer Aided Process Planning, Smart Manufacturing, Computer Integrated Manufacturing.

Authors:- Prof. (Dr) Nemailal Tarafder

Abstract:- CAD/CAM technology is becoming increasingly apparent in the textile and apparel industries. Computer aided-design (CAD) is frequently used for the design and drafting, generating reports, three dimensional modeling, analysis of finite elements and as an input source for computer –aided manufacturing (CAM). The analysis of design and their translation for the manufacturing system is carried out by equipment that is part of computer-aided engineering (CAE)and is the combination of CAD, CAM and CAE, which make-up computer-integrated manufacturing (CIM). The time consuming and cumbersome process of textile engineering has been made by CAD. Computers are helping to design, analyzing and manufacturing the product with span of time in engineering applications. CAD find it’s practical utility in textile, apparel and fashion industry, right from the design initiation to production stage laying, design, planning, spreading, cutting, and sewing. Nowadays, computer-aided design (CAD) software becomes one of the most essential tools for pattern making and released jobs in the clothing industry. To unleash the creativity of the fashion and textiles designers, computer-aided technology is being used more and more in fashion and textile industry.CAD has been a boon for designing and manufacturing industry allowing efficiency and productivity, which a normal pen-paper design can never compare with. At present we see that the link between fashion design and CAD is growing stronger and deeper. CAD software has aided and made drawing and sketching very easy and convenient as compared to normal drawing of any for.

Keywords:-Purposive sampling technique, Fashioning design, CAD solution, Textile pattern libraries, Apparel industry   

Author: Dr. Ananya Mehta,Rahul S. Verm

ABSTRACT : Robotic Process Automation (RPA) is emerging as a transformative technology in industrial environments, particularly in the areas of material handling and assembly. Traditionally associated with software-driven automation in business processes, RPA has evolved to encompass the integration of robotics, AI, and IoT within physical manufacturing systems. In material handling, RPA enables real-time scheduling, dynamic routing, and autonomous coordination between conveyors, robotic arms, and automated guided vehicles (AGVs). In assembly processes, RPA systems enhance precision, consistency, and adaptability, reducing cycle times while maintaining quality control. This paper explores the design, integration, and operational advantages of RPA in manufacturing contexts, focusing on its impact on productivity, safety, and flexibility. Furthermore, challenges such as system interoperability, cybersecurity, and workforce adaptation are addressed, along with future directions in collaborative robotics and AI-enhanced decision-making for fully autonomous production lines.

KEYWORDS: Robotic Process Automation (RPA); Material Handling; Assembly Line Automation; Industry 4.0; Collaborative Robots

Author: Dr. Ananya Mehra,Rajiv Kumar, 

ABSTRACT:(Centered, Italics, Justified, Indentation: Left 0.9 cm, Right 0.9 cm)Predictive Maintenance (PdM) has emerged as a critical component in modern automated manufacturing, enabling industries to transition from reactive to proactive maintenance strategies. By leveraging Machine Learning (ML) algorithms, manufacturers can detect anomalies, predict equipment failures, and optimize maintenance schedules. This integration minimizes downtime, enhances productivity, and reduces operational costs. In automated manufacturing systems, where high-value machinery operates under tight tolerances, unexpected failures can lead to severe production delays. ML-based predictive maintenance analyzes large datasets generated by sensors and control systems, identifying subtle patterns that precede mechanical or electrical failures. This paper explores the methodologies, algorithms, implementation strategies, and challenges of integrating ML into PdM, supported by case studies and comparative analysis. The discussion also emphasizes data preprocessing, feature selection, model training, and deployment in real-time production environments. The results indicate that ML-driven PdM offers substantial benefits in operational efficiency, sustainability, and competitive advantage, especially in Industry 4.0-enabled smart factories.

Keywords – Predictive Maintenance, Machine Learning, Automated Manufacturing, Industry 4.0, Condition Monitoring

Author: Dr. Ankit Sharma,Ms. Priya Mehta   

ABSTRACT:The integration of Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) systems has revolutionized the efficiency and flexibility of automated production lines. CAD/CAM integration allows for the seamless transfer of product design data into manufacturing instructions, eliminating redundancies, reducing lead times, and enhancing product quality. This paper explores the fundamental principles, technological enablers, and industrial applications of CAD/CAM integration in automated production lines. A detailed discussion is presented on how digital modeling, simulation, and automated toolpath generation optimize production workflows. The study also analyzes the challenges of interoperability, data security, and workforce adaptation, along with emerging trends like cloud-based CAD/CAM, real-time monitoring, and AI-driven optimization. Through case examples and tabular analysis, the paper highlights how industries such as automotive, aerospace, and electronics are leveraging CAD/CAM to achieve high precision, cost efficiency, and rapid market responsiveness.

Keywords: CAD, CAM, Automated Production Lines, Digital Manufacturing, Industry 4.0

Author: Dr. Rajesh Verma,                                                   

ABSTRACT:The integration of Digital Twin technology into real-time manufacturing process control represents a paradigm shift in the industrial sector, enabling virtual replicas of physical systems to provide predictive insights, operational optimization, and enhanced decision-making. By establishing a continuous data loop between the physical and virtual environments, manufacturers can achieve higher levels of precision, productivity, and adaptability. This paper explores the architecture, working principles, benefits, challenges, and future directions of Digital Twin technology, with particular emphasis on its application in real-time manufacturing environments. The study examines key enablers such as IoT sensors, cloud computing, artificial intelligence, and machine learning for real-time monitoring and control. Additionally, a comparative table illustrates differences between conventional monitoring systems and Digital Twin-enabled manufacturing. The paper concludes that Digital Twin technology not only improves operational efficiency but also accelerates innovation cycles and resilience in smart manufacturing ecosystems.

Keywords — Digital Twin, Real-Time Control, Manufacturing, Industry 4.0, Predictive Maintenance

Author:Dr. Neeraj Gupta, Ms. Shalini Verma

ABSTRACT: Mass customization has emerged as a strategic approach to meet diverse customer needs while maintaining economies of scale. Computer-Aided Manufacturing (CAM) plays a pivotal role in automating the production of personalized products, enabling manufacturers to achieve flexibility, efficiency, and precision. This paper explores how CAM systems integrate with design tools, data-driven manufacturing, and automated workflows to facilitate mass customization. It highlights case studies, benefits, and design considerations in adopting CAM-based automation, and discusses future trends such as AI integration, cloud-based manufacturing, and Industry 4.0 applications.

Keywords: Mass Customization, CAM, Automation, Flexible Manufacturing, Industry 4.0

Author: Dr. Raghav Sharma,Ms. Ananya Verma

ABSTRACT:The integration of the Internet of Things (IoT) in automated manufacturing systems has significantly transformed industrial operations by enabling real-time data acquisition, predictive maintenance, and improved process control. IoT-based monitoring systems employ interconnected sensors, actuators, and intelligent platforms to collect, transmit, and analyze production data seamlessly. The real-time insights generated facilitate optimized resource utilization, reduced downtime, and improved product quality. Furthermore, IoT enables remote diagnostics and adaptive control in manufacturing environments, aligning with Industry 4.0 principles. This paper presents an in-depth study on the role of IoT in monitoring and controlling automated manufacturing systems, exploring hardware and software integration, communication protocols, cloud-based analytics, cybersecurity measures, and case studies from leading manufacturing firms. The study also outlines challenges, such as interoperability, data security, and infrastructure costs, while proposing strategies to overcome them for sustainable industrial adoption.

KEYWORDS:   IoT, Automated Manufacturing, Process Control, Industry 4.0, Real-Time Monitoring

Author:Juhi Patel 

ABSTRACT: Within circles and domains of conflict and calamities, humanitarian communications has greatly facilitated human engagement and mutual understanding. During a crisis, how information is transmitted and received is critical. With peace on the verge of extinction around the world and the  growth of countless humanitarian organisations, the need to explore communication is critical, given the importance of information, mutual understanding, and knowledge to victims of armed conflict and natural disasters. This paper explained the concept of humanitarian communications, types of humanitarian communications, and the importance of humanitarian communications to victims of armed conflict and natural disasters.

Keywords: Natural disaster, Armed conflict, Knowledge, humanitarian communications

Author: Dr. Rajeev Menon, Ms. Kavita Rao

ABSTRACT:Artificial Intelligence (AI) has revolutionized the manufacturing sector, with one of its significant contributions being tool path optimization in Computer Numerical Control (CNC) machining. By leveraging machine learning algorithms, real-time data analytics, and predictive modeling, AI-driven systems can enhance machining precision, reduce cycle times, and minimize tool wear. This paper examines the role of AI in generating optimized tool paths, integrating CAD/CAM systems, and adapting to real-time manufacturing conditions. Practical benefits, design considerations, and future trends in AI-based tool path optimization are discussed, along with case studies demonstrating its impact on industries such as aerospace, automotive, and precision engineering.

Keywords: Artificial Intelligence, CNC Machining, Tool Path Optimization, CAD/CAM, Predictive Modeling

Author: Dr. Rohan Mehta,Ananya Kulkar

ABSTRACT: Advanced Computer Numerical Control (CNC) programming for multi-axis machining centers represents a transformative leap in manufacturing technology, enabling unparalleled precision, complexity, and efficiency. Multi-axis machining allows simultaneous movement of multiple axes, significantly enhancing capabilities in aerospace, automotive, medical, and mold-making industries. This paper discusses the principles, programming strategies, and optimization techniques for multi-axis CNC systems, with emphasis on toolpath generation, collision avoidance, and integration with Computer-Aided Manufacturing (CAM) software. Challenges such as tool deflection, surface finish, and post-processing complexities are addressed, alongside emerging trends like AI-assisted programming and digital twin integration. By harnessing these technologies, manufacturers can achieve shorter production cycles, improved part quality, and greater design flexibility, positioning multi-axis CNC machining as a cornerstone of Industry 4.0 manufacturing solutions.

Keywords — CNC Programming, Multi-Axis Machining, Toolpath Optimization, CAM Software, Industry 4.0

Keywords — Additive Manufacturing, Automation, Rapid Prototyping, Industry 4.0, Robotics Integration

Authors : Dr. Ramesh Kumar, Anjali Mehta

ABSTRACT : The integration of automation in sheet metal fabrication has revolutionized the manufacturing industry by enabling high precision, speed, and flexibility in production. CNC laser cutting is a cornerstone technology in this transformation, offering unmatched accuracy and material efficiency. This paper explores the principles, technological components, and operational methodologies of CNC laser cutting systems, with an emphasis on their role in enhancing productivity in automated sheet metal fabrication. Energy efficiency, process optimization, and quality control measures are discussed alongside advancements such as AI integration and IoT-enabled monitoring. Case studies demonstrate reduced waste, improved throughput, and significant cost savings, highlighting the future prospects of this automation-driven approach in modern manufacturing environments.

 Keywords : CNC Laser Cutting, Sheet Metal Fabrication, Automation, Precision Manufacturing, Industry 4.0

Author:Dr. Ramesh Verma, Anita Sharma

ABSTRACT:The integration of Computer-Aided Manufacturing (CAM) and automation into lean manufacturing practices has redefined industrial efficiency, product quality, and operational flexibility. Lean manufacturing, centered on waste elimination and continuous improvement, has found a powerful ally in CAM’s precision and automation’s consistency. Together, these technologies enhance process reliability, reduce human error, and enable real-time adjustments in production lines. This paper examines the symbiotic relationship between CAM, automation, and lean manufacturing, highlighting how their convergence leads to reduced lead times, optimized resource utilization, and improved adaptability in dynamic market environments. Case studies and statistical analyses are used to substantiate the improvements in cost efficiency and product quality achieved through this technological integration.  

 Keywords: CAM, Automation, Lean Manufacturing, Process Optimization, Industrial Efficiency

Author: Dr. Arjun Mehta,Ritika Sharma

 ABSTRACT:Cloud-based Computer-Aided Manufacturing (CAM) solutions are transforming the way industries approach design-to-production workflows, particularly in distributed manufacturing networks. This integration enables geographically dispersed facilities to collaborate in real-time, share resources, and streamline production cycles with unprecedented efficiency. The emergence of cloud infrastructure has removed traditional hardware and software constraints, enabling manufacturers to leverage high-performance CAM capabilities without extensive local computing resources. This paper explores the architecture, benefits, and challenges of cloud-based CAM in distributed manufacturing, focusing on interoperability, data security, scalability, and cost-effectiveness. Case studies demonstrate how cloud-enabled CAM has accelerated production timelines, improved quality control, and facilitated sustainable practices in smart manufacturing environments. The study also addresses the role of Industry 4.0, IoT, and AI integration in enhancing the effectiveness of cloud CAM systems. Recommendations are provided for implementing robust cloud CAM frameworks that can address security concerns, ensure interoperability, and enhance global supply chain efficiency.

 Keywords: Cloud CAM, Distributed Manufacturing, Industry 4.0, IoT, Manufacturing Networks

Author: Dr. Meera Kulkarni,Arjun Verma

ABSTRACT: Computer-Aided Manufacturing (CAM)-based simulation is becoming a cornerstone in modern process planning, enabling manufacturers to achieve higher precision, reduced errors, and faster production cycles. By integrating advanced computational tools, CAM simulations replicate real-world machining operations, allowing engineers to predict potential process issues before actual production. This approach minimizes costly downtime, reduces scrap rates, and improves tool life through optimized process parameters. The implementation of simulation-driven planning enhances decision-making by providing virtual validation of machining sequences, fixture placement, and cutting strategies. Furthermore, CAM-based simulation facilitates real-time feedback loops with machine tool controls, enabling adaptive corrections during operations. This paper examines the methodology, benefits, and challenges associated with CAM-based simulation in process planning, with a focus on error minimization and improved manufacturing efficiency. A comprehensive analysis is provided through literature review, industry examples, and comparative evaluation with traditional planning methods.

KEYWORDS:CAM simulation, process planning, error reduction, manufacturing optimization, virtual machining

Author: Dr. Rohan Mehta,Ananya Sharma

ABSTRACT:The increasing demand for precision, efficiency, and consistency in modern manufacturing has accelerated the adoption of automated quality control (QC) and inspection methods. Machine vision, leveraging high-resolution cameras, image processing algorithms, and artificial intelligence (AI), is transforming traditional QC approaches by enabling non-contact, real-time inspection with unparalleled accuracy. This paper explores the core components, methodologies, and industrial applications of machine vision-based automated inspection systems. Emphasis is placed on integration with manufacturing lines, benefits such as cost reduction and enhanced throughput, and the challenges including lighting variations, image noise, and algorithm robustness. Furthermore, advancements in deep learning for defect detection and predictive maintenance are examined. A case study demonstrates the practical impact of machine vision on productivity, quality, and operational reliability. The study concludes with future directions focusing on AI-driven adaptive vision systems for Industry 4.0 environments

KEYWORDS:  Machine vision, automated quality control, defect detection, image processing,      Industry 4.0

Author: Dr. Meera S. Iyer,Rahul V. Sharma

ABSTRACT:The evolution of smart factories powered by Industry 4.0 technologies is reshaping Computer-Aided Manufacturing (CAM) by integrating cyber-physical systems, Industrial Internet of Things (IIoT), and advanced analytics. CAM systems are no longer isolated programming tools; they are now interconnected components in a data-driven manufacturing ecosystem. This paper explores how smart factory principles—such as real-time monitoring, predictive analytics, and adaptive control—are transforming CAM processes, enabling higher precision, reduced downtime, and improved customization. We examine the architecture of smart CAM environments, the role of automation in decision-making, and the integration of cloud-based solutions. Furthermore, the paper highlights challenges related to cybersecurity, interoperability, and workforce adaptation. Case studies demonstrate tangible productivity gains, quality improvements, and operational flexibility in smart factory settings. Finally, we discuss future trends, including AI-driven CAM optimization and decentralized manufacturing networks, paving the way for fully autonomous production environments.

Keywords: Smart factories, Industry 4.0, Computer-Aided Manufacturing, IIoT, Cyber-Physical Systems

Author: Rohit Sharma,Priya Nair

ABSTRACT:The integration of Computer-Aided Manufacturing (CAM) with Enterprise Resource Planning (ERP) systems has emerged as a critical innovation for streamlining manufacturing operations. CAM provides precise control over production processes, while ERP offers a centralized platform for managing business resources and operational workflows. By linking these systems, manufacturers can achieve real-time visibility into production status, improve scheduling accuracy, reduce material wastage, and increase efficiency. This paper examines the architecture, benefits, challenges, and practical applications of CAM-ERP integration, alongside future trends such as cloud-based ERP and AI-driven manufacturing intelligence. Through a review of current technologies and industry case studies, the paper provides insights into the best practices for implementing CAM-ERP systems for maximum productivity and competitiveness.

Keywords — CAM integration, ERP systems, manufacturing automation, real-time process control, Industry 4.0

Author : Dr. Ananya Sharma

ABSTRACT:The integration of Computer-Aided Manufacturing (CAM) with energy-efficient automation strategies has transformed modern manufacturing into a highly productive, sustainable, and precise industry. CAM-driven processes, when optimized for energy consumption, not only lower operational costs but also reduce environmental impact. This paper presents an in-depth analysis of methods to implement energy-efficient automation in CAM-based manufacturing, focusing on intelligent tool path planning, adaptive feed rate control, smart machine scheduling, and the role of Industry 4.0 technologies such as IoT-enabled monitoring and AI-driven predictive maintenance. The proposed framework integrates advanced algorithms with real-time energy monitoring to achieve significant reductions in power usage without compromising on productivity or quality. Case studies from diverse manufacturing sectors, such as automotive, aerospace, and precision engineering, demonstrate potential energy savings of up to 25%. The research underscores that the convergence of CAM automation with sustainable manufacturing practices is crucial for achieving long-term competitiveness in the global industrial landscape.

KEYWORDS
Energy efficiency, CAM automation, sustainable manufacturing, adaptive machining, Industry 4.0

Author:Ms. Priyanka Sinha,Dr. Aarav Mehta

ABSTRACT: Automated manufacturing environments have evolved significantly with the adoption of Industry 4.0 technologies, enabling higher efficiency, reduced downtime, and improved production quality. However, these advancements have introduced new cybersecurity vulnerabilities due to interconnected devices, Industrial Internet of Things (IIoT) networks, and cloud-based monitoring systems. Cyberattacks such as ransomware, data breaches, and unauthorized access can cause severe disruptions, financial loss, and safety hazards. This paper investigates the major cybersecurity challenges in automated manufacturing, analyzes their implications, and discusses robust mitigation strategies. Topics include vulnerability assessment, attack detection, intrusion prevention, and regulatory compliance. Case studies highlight real-world cyber incidents in manufacturing, offering insights into best practices for securing operational technology (OT) environments. Recommendations focus on adopting multi-layered security architectures, continuous monitoring, and workforce cybersecurity awareness to ensure resilient, secure, and sustainable manufacturing operations.

Keywords: Cybersecurity, Automated Manufacturing, Industry 4.0, Industrial IoT, Operational Technology Security

Authors: Dr. Rakesh Mehta,Ms. Priya Sharma

The integration of collaborative robots (cobots) into semi-automated production lines has revolutionized modern manufacturing by blending human skill with robotic precision. Unlike traditional industrial robots, cobots are designed to work safely alongside human operators, enhancing flexibility, productivity, and workplace ergonomics. This paper explores the role of cobots in semi-automated environments, examining their technological capabilities, safety mechanisms, and application domains. Emphasis is placed on their adaptability, ease of programming, and cost-effectiveness, which make them ideal for small and medium-sized enterprises. Key challenges, including safety certification, workforce training, and process optimization, are discussed alongside emerging trends such as AI-driven control and sensor integration. A comparative analysis with conventional automation highlights cobots’ advantages in mixed-task operations. Case studies demonstrate practical deployment in automotive, electronics, and food processing industries. The paper concludes that cobots will play a critical role in the future of manufacturing, bridging the gap between manual labor and fully automated production systems while enabling mass customization and operational resilience.*

Keywords — Collaborative Robots, Semi-Automated Production, Human-Robot Interaction, Industrial Automation, Flexible Manufacturing

 Author:Rohit Mehra

Abstract :(Centered, Italics, Indented Left and Right 0.9  cm, 1.5 line spacing)The integration of Computer Aided Manufacturing (CAM) and Industry 4.0 technologies has ushered in a transformative era of smart production systems. This paper explores the convergence of CAM with cyber-physical systems, IoT, and artificial intelligence, which collectively enhance automation, efficiency, and real-time data-driven decision-making. We examine key enablers, benefits, implementation challenges, and real-world case studies. The goal is to present a comprehensive perspective on how digital integration is reshaping the manufacturing domain into adaptive, interconnected, and intelligent systems.

Keywords: Computer Aided Manufacturing, Industry 4.0, Smart Factories, Cyber-Physical Systems, IoT, Automation

Author: Kalyani G. Katole, Prof.Sandip B. Patil

Abstract: This project will outline the issues and approaches involved in skid design for static loads such as in pressure vessels. The project presents the study of performance characteristics of the support frame structures also called as skid frame, according to changes in their connections, considering the loads caused by machine has been done and compared with the limits of displacements of the structures. Skid Base Frame is a structural assembly consisting of beams of various cross sections and dimensions. The base frame is subjected to gravitational loading of all the components mounted like as Compressor, Air Receiver vessel etc. The frame discussed in this report was designed with conventional CAD design practices and then analysed statically with FEA software.The analysis was carried out to determine the induced stresses and the deflections at various locations on proposed frame. The structure was optimized to reduce weight. In this project the experimental and Finite Element Analysis of skid Frame for Rigidity is been carried out. The base frame is analysed using Hyper mesh and ANSYS software. The static loads are applied on the frame and analysis is carried out. The test is carried out to check the conformance of the existing design. The skid base frame is modified for making a stiffer design within the allowable stress limits. Based on these results, best feasible design solution is proposed and validated experimentally.

Keywords: Skid Base Frame, CAD model, FEA loading, Static Analysis, Weight Optimization

Author:Ishani Kar, Deepak Kumar                                        

Abstract:To stand apart in today’s globalized world and to survive cutthroat competitions, manufacturers are in dire need to find ways to reduce production times and cost. This generation is more conscious about cost reduction, which leads one of the construction equipment industries to come up with a new model of Double drum compactor machine (DD) for their customers. The aim of the project is to increase the efficiency of workstation, minimizing the failures and thereby increasing the productivity in the assembly line. In order to obtain the productivity and reducing the time taken, some fixtures design is required for assembly line. In this paper, the concept of fixture design has been obtained by using SOLID EDGE software along with load calculations with mechanical formulas.

Keywords: Compactor, Fixture, DD, SOLID EDGE

Author: Shrikant M. Harle, Prakash S. Pajgade

Abstract:It is important to construct the durable roads and there should not be necessity of maintenance after short span. The concrete roads have many advantages as compared to the flexible pavement. The durability, Strength and life are the main characteristics of good road. In the developing countries like India, the flexible roads are deteriorated very easily due to heavy loads of the vehicles. Therefore it is also important to know the stresses and strains coming out on the concrete pavement due to different loads of vehicles. The present paper has describes the deformation, maximum stress and maximum strain.  The present paper has consider these aspects using analysis in finite element software i.e. ANSYS workbench.

Keywords: Concrete road, ANSYS, stress, Strain and deformation

Author: Dr. K. Ashok Reddy

Abstract: A toroidal piston bowl was designed using Ansys software. Temperature distribution and total heat flux are presented in this work. We begin by presenting works of different authors on Toroidal piston and related subjects. By presenting our own experiment and conclusions later on this paper, we provide a comprehensive analytical studyofToroidal Piston using the Ansys software.

Keywords: Piston, Heat Flux, Temperature and Boundary Condition

Author: Dr. Aniket R. Kulkarni, Rajashree V. Mehta

Abstract: The integration of automation technologies in Computer Numerical Control (CNC) machining has significantly revolutionized modern manufacturing practices. By incorporating adaptive control systems and Computer-Aided Manufacturing (CAM) software, industries are now capable of achieving exceptional levels of precision and productivity. Adaptive control facilitates real-time monitoring and automatic adjustments during machining, optimizing performance and minimizing wear. Simultaneously, CAM software enhances toolpath design, simulation, and error reduction. This paper explores how these technologies interact to elevate the functionality of CNC machining processes. With growing demands for mass customization, the role of automation becomes even more pivotal. This paper discusses key mechanisms, performance metrics, and case studies illustrating measurable benefits in cycle time reduction, defect minimization, and tool utilization. The study also sheds light on challenges and future prospects as CNC machining evolves alongside Industry 4.0 and artificial intelligence.

Keywords: CNC machining, automation, adaptive control, CAM integration, precision engineering, real-time monitoring, Industry 4.0

Authors: Somnath Somadder, Md. Shahidul Islam

Abstract: The behavior of material subjected to thermo mechanical loads is of interest to researchers in a wide variety of discipline. Axi symmetric pressure vessels have wide use in industrial engineering. They often operate under combined mechanical and thermal loads which may be constant or cycling. The combined effects of temperature and pressure must be taken into account when designing cylinders. Cylinders have wide application in chemical, petroleum and military industry. Various methods of prestressing techniques such as compound cylinder, increasing wall thickness are used so that thick cylinders can resist large internal pressure and to make effective use of material at the upper portion of the cylinder. In this thesis work the analytical and numerical analysis of compound thick cylinder is given. The evaluation of the resistance and the conformity of the cylinders depending upon the conditions of use are illustrated by stress and displacement distributions. The results of the analytical approach are validated to a finite element model.

Keywords: Stress analysis, Prestressing, Compound cylinders, Analytical and finite element analysis

Author: Maheswaran M, Pitchandi K, Uthish Shankar S, Nithin Kumar P, Vijey V S

Abstract:This paper deals with the selection of aerofoil based on Lift and Drag Characteristics. Two different type of aerofoils such as ordinary Aerofoil and Supercritical Aerofoil that are being used in currently are selected namely NACA0012 and NACA SCA0714 are being considered for analysis. The tests are conducted using ANSYS FLUENT simulation software. The two aerofoils are tested at various Angles of Attack (-10°, -5°, 0°, 5°, 10°) and at two different flow conditions. Finally, the aerofoil with its angle of attack is tabulated with its lift and drag coefficients. Thetest results of both aerofoils are compared and results are concluded.

Keywords: Aerofoils, characteristics, Supercritical Aerofoil, NACA0012, NACA SCA0714, ANSYS FLUENT, Angles of attack, Lift and Drag Coefficient

 Author:  Samta Jain, Dr. Vikas Bansal, Pawan Kataria 

 Abstract: This paper presents static structural analysis of engine camshaft by FEA. The Camshaft is important parts in the IC engines. This camshaft rotates at high speeds causing stress and vibrations in the system. Camshafts are also subjected to varying contact fatigue loads due to the contact of the plunger on the cam. These exact values are needed to be determined to avoid failure in camshaft. The objective of the project is to perform stress analysis of camshaft. In this project the standard camshafts is modeled and analyzed using Pro-E Wildfire 4.0 and ANSYS WORKBENCH 11.0 software respectively. The model is created by the basic needs of an engine with the available background, such as forces acting over the cam by means of a valve while running at maximum speed. Here the approach becomes fully CAE based. CAE based approach enriches the Research and limits the time duration. A study has been undertaken to predict the structural behavior of camshafts of different materials using three dimensional finite element stresses. Four Materials namely aluminum, steel are taken into the consideration. The results of Stress and maximum displacement are calculated and compared for all the above materials. ANSYS values are compared with the theoretical values. The conclusion is to focus towards proper material for the camshaft to reduce maximum displacement and stress. The material steel comes out to be the best material for the manufacture of camshaft based on the analysis.

Keywords: Camshaft, Stress Analysis, Modal Analysis, Finite Element Analysis, ANSYS, PRO E

Authors:-Aniket Naik , Balkrishna Patil, Clive Da Costa, Shivkumar Kalasa, Satish Chanagond 

Abstract:-L.P machine consists of two main machines which are laser cutting and 3D printing combined in one machine, these all machines are very expensive in the market so instead of buying two machines we can buy only one machine with both functions and having high accuracy. In our project we have decided to develop working model of laser cutting and engraving machine. This machine is very useful in our department since it’s a kind of rapid prototyping machine. It can cut out paper patterns and thermoplastic sheets to produce desired shape and patterns. Till now we have collected information on laser cutting, laser and what engraving is. Laser cutting is different from laser engraving; in case of engraving very low intensity laser torch is used as compared to laser cutting. We got a brief introduction on laser, how it works, what are its properties, how to generate it and how to control its intensity. It might not cut through chunks of wood but surely burn the top layer. So combining both the machines in one we can make both the processes economical efficient and easy to use. This will also occupy less space and reduce men power required. 

Author: Rushikesh A.Tawar, Prof. M. A. Sutar

Student¹, PG Co.ordinator

Department of Mechanical Engineering

Ashokrao Mane Group of Institutes, Vathar, Kolhapur, Maharashtra, India

Abstract: In many casting manufacturing industry, Furnaces are most commonly used for melting of materials. Induction furnaces are more beneficial as no fuel is required. Especially silica ramming mass is used as refractory material to prevent losses. It is a problem to find life of Induction Melting Furnace wall under thermal fatigue. The induction melting furnace wall is made of silica ramming mass which is one kind of refractory material. In foundry industry, energy accounting is necessary to determine heat losses and how efficient is the energy management system. There are many opportunities for improving energy efficiency in most foundries. In this paper we have suggested alternative ramming mass material to silica ramming mass which is Zirconia (ZrO2).The thermal conductivity of Zirconia ramming mass is less so considerable energy saving can be achieved by proper attention to this process by thermal analysis of induction furnace by using ANSYS software. This paper deals with Thermal analysis of Induction furnace by using Silica and Zirconia ramming mass material for minimum heat losses during melting process. Heat loss calculation requires thermal properties and physical parameter. Calculations have been done for theoretical heat loss and temperature distribution which are later compared with actual values measured on existing furnace. ANSYS Software was used for thermal analysis which gave more accurate results.

Keywords: - Thermal analysis, Induction furnace, Sili cramming mass, Refractory material, Energy management system, Heat losses.

Authors:-Priyal Lokhandkar, Dr. C. R. Patil

Abstract:-An automotive disc brake is a device which creates resistance to the motion of wheel under running conditions. The basic function of disc brake is to stop or slow down the motion of wheel by applying frictional force through caliper assembly. During this process kinetic energy converts in heat energy and dissipate into surrounding atmosphere. The conversion of energy results in speed retardation, and brings the vehicle in steady state. The heat dissipation properties during actuation have significant impact on the brake performance. During operation the high stresses are built up, results in wear and fading. The performance parameters can be improved by considering thermal characteristics of disc brake materials. The objective of this study is to investigate, under extreme working conditions, the thermochemical behavior of different brake rotors in order to evaluate their efficiency and stability, also to identify any compromising weakness on them. In this paper the investigation is done by considering different material used for brake disc manufacturing and the thermal behavior of the same in loading condition analysis of different shapes with different material of disc rotor.

Author: Ritika Sharma, Vikram Das

Abstract: The field of industrial robotics has seen exponential growth due to advancements in automation technologies. A central aspect of this development is robot programming, which governs how robots interact with their environment and perform tasks. Two primary methodologies dominate this domain: offline programming (OLP) and online programming. Each offers distinct advantages and trade-offs regarding cost, accuracy, productivity, and flexibility. This paper explores the evolution, methodology, comparative strengths, and limitations of offline and online programming. Furthermore, it investigates the emerging trends such as digital twins, simulation-based planning, and AI-based path generation that enhance offline capabilities. Through this comparative study, the paper aims to guide engineers and industries in selecting the most appropriate programming technique based on task complexity, industry type, and operational constraints.

Author: Dr. Rachit Verma

Abstrct: Digital Twin Technology (DTT) is redefining Computer-Aided Manufacturing (CAM) and the broader landscape of smart automation. By creating real-time digital replicas of physical assets, processes, and systems, DTT enables continuous monitoring, predictive analytics, and seamless integration of virtual and real environments. In the context of CAM, digital twins optimize tool paths, simulate machining operations, and improve part quality even before manufacturing begins. This paper explores the foundational principles, implementation strategies, and industrial applications of digital twin technology in CAM environments. It also discusses integration with IoT, AI, and cloud platforms that enhance decision-making and responsiveness. Challenges such as interoperability, cybersecurity, and high setup costs are analyzed. Finally, the paper outlines future trends that could revolutionize how digital twins interact with CAM systems for intelligent and autonomous production.

Keywords— Digital Twin, Computer-Aided Manufacturing, Smart Automation, Cyber-Physical Systems, Predictive Maintenance, Industry 4.0

Authors: Periyasamy Bernix. S, Pradeep. S , Raviprasaath.R, Dr. B. A. Saravanan

Abstract: CFRP (carbon fiber reinforced plastic), which is composed of carbon fibers in a resin matrix, is an extremely strong and light composite material that has found use in the aerospace and automotive industries. CFRP boards are very difficult to machine using common machining processes. Various machining artifacts, such as burrs and delamination, occur frequently when machining CFRP. Adequate techniques for machining CFRP have not yet been established. Recently, electroplated diamond wire machining technology has found use in cutting hard, brittle materials such as silicon and sapphire. In this study, we used an electroplated diamond wire saw to cut a CFRP work piece. We quantified the cutting forces imposed on the work piece and observed the surface state of the work piece after cutting. We demonstrated that an electroplated diamond wire tool is suitable for the high-quality machining of CFRP boards.

Abstract:  High-Speed Machining (HSM) has revolutionized modern manufacturing by enabling the rapid production of complex and precise components. When coupled with advanced Computer-Aided Manufacturing (CAM) strategies, particularly in tool path optimization, HSM delivers unparalleled efficiency and accuracy. This paper explores the synergy between HSM and CAM, highlighting how intelligent path planning, dynamic tool engagement, and real-time simulation improve machining performance. It reviews the latest trends, software features, and challenges in integrating CAM with HSM for sectors like aerospace, automotive, and mold manufacturing. Future advancements in AI-assisted tool path generation and digital twin-based optimization are also discussed.

Keywords: High-Speed Machining, CAM, Tool Path Optimization, Digital Twin, Adaptive Machining, Manufacturing, Surface Finish

Author: Priyanka P. Gangurde

Abstract: Spherical plain bearings are used to accommodate shafts or rods with varying amount of misalignment. They are designed to manage high radial loads and to provide consistent performance under condition of extreme speed and critical stresses. One of the applications of this bearing is vehicle suspension. There is wide range of spherical plain bearing which can be used to withstand high alternating loads, shock loads and radial loads with unilateral load direction. In this seminar, the aim is to select proper type spherical plain bearing as a replacement to ball joint which is going to accommodate at the knuckle end of upper and lower arm of front suspension of QUAD BIKE and to carry out analysis of spherical plain bearing by using FEM method. It has been seen that there is better performance of spherical plain bearing than the ball joint and having wide range of load carrying capacity. The study consists of selection of bearing size which includes, 1) Load rating 2) Rating life 3) Specific bearing load 4) Temperature conditions and 5) Design of bearing arrangements. Load rating includes static as well as dynamic load rating. Dynamic load rating is used for calculations when the bearing is subjected to dynamic stress. Dynamic stresses occur when tilting, oscillatory or rotational movements are made under load, e.g. resulting from vibrations, or loads which are applied alternately at high frequency. Static load rating represents the load which is taken by bearing when static contact stress of bearing contact surface reaches the material stress limit and it remain stationary under load and it is considered when dynamically loaded bearings are subjected to heavy shock loads. For accounting the loads, lots of research and efforts have been done in this field to reduce mechanical failures and improved sustainability by using spherical plain bearing. Fatigue analysis is carried out on solid-Thinking Inspire 2018 and analytical modelling in CATIA V5.

Authors: Deepak Singh1, Ankur2

Abstract: Computer applications are the necessary part of modern world. Area of Designing and Manufacturing technology is growing rapidly along with today’s technical advances. This paper presented the procedure for how to achieve CAD model of turbine blade. The method discussed here is the latest profile developed for blades involves regularization and curve fittings using Bazier and B-spline curve generation. Weighting coefficients and nurbs are used for curvature surface of the model.. The method gives the possibility to simulate and analyze complex problems without losing the integrity of the problem due to simplified own models. CAD made it possible to easily work in the field of aerodynamics using CFD as the main tool. It extend the understanding in unsteady own analysis using CFD for rotational systems, which could be implemented into future projects. This paper mentioning how the blade geometry profile transformation to a computer aided design (CAD), This is then followed by the analysis and simulations on the rotor blade monitoring force and moment coefficients predicted on the blade. The results are then gathered from the simulations and the paper concludes the significant results from the CAD design, meshing and simulations. The commercial software that is used, ANSYS1 ICEM and CFX, is studied. Computational Fluid Dynamics (CFD) is a powerful tool which is used extensively in aerodynamic applications. It provides the numerical solutions to the governing Navier-Stokes Equations throughout the own region.

Keywords: Turbine, Navier-Stokes Equations, Blade Design

Authors: Shajan K. Thomas, Alwyn Saju, Christo Thekkekara, Alan Jogy, John Bigil

Abstract:  Unmanned vehicles are becoming a crucial tool for many military operations. High risk missions like encounter operations and surveillance demands the need for advanced multi-purpose vehicles that can negotiate and achieve the goals. The present classes of unmanned vehicles include ground vehicles, aerial vehicle and water vehicle which are limited to one or two mode of operations. During a situation when the vehicle has to move through land, air and water, a single unit of present vehicles will not satisfy the need. This project suggests a solution for this problem by designing and fabricating a radio controlled unmanned vehicle with three modes of mobility. The vehicle is named Dragon and is aimed to attain three modes of mobility. The design process started with analysing the requirements and building up the design concept by testing on a prototype. The final design was made in Solidworks design software. Then the vehicle was fabricated, tested and was successfully operated. The project was able to provide an innovative solution and inspiration for a new class of unmanned vehicles.

Authors:Suvarna Babu. R Bhojendra Naik M, Paramesh T

Abstract: Press tools are the devices by which the sheet metal can be converted into required shape by various press operations. This process is also called cold stamping. It can also be defined as a device used for punching out sheet metal components from the stock strip. JDP TOOL TECH has got a project to design press tools for thermostat lever. Levers are used in the lever mechanism of thermostat. A thermostat is a device for automatically operating an electrical switching mechanism in response to sensed changes in temperature. The position of a lever mechanism responsive to the remote temperature sensor controls the point at which the switching mechanism is actuated in response to a certain movement of the lever mechanism. The prime objective of the paper is to design progressive and bending tools or dies that combines maximum production to produce the component and least maintenance with “lowest feasible cost, that exceeds the expectations of the customer in aspects like Quality, Cost, for the desired life.

Author:Kavita Joshi

Abstract:Computer-Aided Manufacturing (CAM) has become a cornerstone in aerospace production, where precision, efficiency, and consistency are critical. This paper explores the current and emerging roles of CAM in the aerospace industry, focusing on the ways it enhances productivity, precision machining, and reduces production cycles. Modern aerospace components demand stringent tolerances and complex geometries, which are increasingly achieved through advanced CAM techniques. This paper also highlights recent innovations such as multi-axis machining, digital twin integration, and simulation-driven manufacturing. Further, it presents the future trajectory of CAM in aerospace, addressing challenges and opportunities for manufacturers to meet evolving global demands in defense and commercial aviation.

Keywords: CAM, Aerospace Manufacturing, Multi-axis Machining, Precision Engineering, Digital Twin, CNC, Productivity

Author: Dr. Meenal Sharma

ABSTRACT: Autonomous Mobile Robots (AMRs) are rapidly transforming the landscape of industrial automation by introducing intelligence, flexibility, and autonomy to material handling and intralogistics. These robots, equipped with sophisticated sensors, AI algorithms, and navigation systems, are capable of perceiving, analyzing, and acting within dynamic factory environments. In the context of Industry 4.0, AMRs facilitate real-time data communication and seamless integration with cyber-physical systems. This paper explores the operational framework of AMRs, their role in smart manufacturing environments, comparative advantages over Automated Guided Vehicles (AGVs), and integration challenges. Through a detailed review of current implementations and industry use-cases, the study highlights how AMRs contribute to increased productivity, worker safety, and manufacturing agility. The paper concludes with future directions, suggesting the role of 5G, edge computing, and collaborative AI in further enhancing AMR functionality in smart factories.

Keywords— Autonomous Mobile Robots, Smart Manufacturing, Industry 4.0, Intralogistics, Human-Robot Interaction, Artificial Intelligence, Flexible Automation

Authors: Tajamul Pasha, Hulagappa B, Tejasvi S, S M Khydas, Nizamudheen A, Rohan S

Abstract: Composites are made by addition of one or more materials combined at macroscopic level. By varying the percentage of composition of materials the strength and toughness can be obtained as per the end applications. The present work is to fabricate an E-glass epoxy composite using MY740 epoxy along with varying percentages of CaCO3 as filler material. The filler materials are added at different percentages of 2.5 wt% and 5 wt% and the mechanical properties such as tensile strength, impact strength, flexural strength and fracture toughness of the composites are determined. Using the graphs, the failure modes of the composites are determined. It is found that the addition of fillers increases the tensile strength, but decreases the impact energy. Varying strengths are obtained at Flexural and Fracture test based on the filler percentage and temperature. ANSYS modelling is carried out to verify the fracture toughness of the composite. The SEM analysis is also carried out to determine the failure at micro-structural level.

Authors: Subodh Kumar1, Ramkisan Pawar2, Gopal Devidas Belurkar3

Abstract: This paper describes a study for blanking tool, where tolerance analysis and tolerance allocation techniques were used to analyze the cause of poor product performance and determine new tolerance specifications and process settings. 1D stackup analysis were performed by CREO CETOL. In blanking or piercing operation punch and die should concentric for proper cutting. Paper describe the cumulative effect of tolerance during alignment of punch and die.

Keywords: Blanking, GD&T, DMPU, Press Tool, Stackup Analysis, Tolerance Allocation, Yield Percentage

Authors: Siddhant. R. Patil, Priyanka P. Gangurde

Abstract: Springs are flexible machine elements used for controlled application of force or for storing and release of mechanical energy. Typically, a wave spring will occupy an externally small area for the amount of work it performs. The present work deals with the numerical structural analysis of wave and coil spring by finite element method by using ANSYS 15.0 software .The design of spring in suspension system is very important. Structural analysis has been conducted on the coil spring and wave spring by varying the spring material such as Structural steel, Brass and Beryllium Copper. For this analysis, loads are considered as bike weight, single person and two persons. Structural analysis is done to validate the strength. The present study makes an attempt to compare the results for selecting best material for springs.

Authors: Dr. Rajeev Narayan, Ms. Neha Deshmukh

Abstract : Flexible Manufacturing Systems (FMS) offer the potential to meet the increasing demand for mass customization, rapid production, and improved quality by enabling agility in manufacturing processes. Automation plays a vital role in enhancing the flexibility and responsiveness of these systems by integrating Computer Numerical Control (CNC), robotics, sensors, and real-time control systems. This paper explores the structure, components, levels of flexibility, and the transformative role of automation in FMS. Additionally, it examines real-world applications, benefits, and challenges associated with deploying FMS in modern industry. With advancements in AI and Industrial Internet of Things (IIoT), automated FMS are poised to become integral to Industry 4.0 environments. This paper aims to bridge the understanding between traditional manufacturing setups and adaptive smart factories empowered by flexible and automated solutions.

 Keywords: Flexible Manufacturing System (FMS); Automation; CNC; Robotics; Smart Factory; Agile Manufacturing; Industry 4.0

Author:Dr. Shalini K. Bansa,lRajeev R. Menon 

ABSTRACT:Computer-Aided Process Planning (CAPP) serves as a vital digital bridge between the design and manufacturing stages of production. This paper examines the evolution of CAPP, its classifications, and its critical role in modern industry. The study explores how CAPP integrates CAD and CAM to automatically generate efficient, consistent, and optimized process plans. The paper analyzes various types of CAPP systems, including variant and generative approaches, while discussing the use of artificial intelligence in process planning. Key benefits such as reduced lead times, cost minimization, and improved quality are presented through case studies. A comparative analysis with traditional manual planning highlights the significance of digital process automation. The paper concludes by outlining future research trends in AI-integrated CAPP for smart manufacturing.

Keywords: Computer-Aided Process Planning (CAPP), CAD, CAM, Generative Systems, Variant CAPP, Process Automation, Industry 4.0

Author: Dr. Nivedita Rao, Associate Professor,Rahul Meena,      PG   Scholar

ABSTRACT:Cloud-based Computer-Aided Manufacturing (CAM) systems are revolutionizing the way manufacturers design, simulate, and control production processes. With the advent of Industry 4.0 and smart factory frameworks, traditional standalone CAM tools are transitioning toward scalable, collaborative, and remotely accessible platforms. This paper explores the critical opportunities and challenges of integrating CAM with cloud computing. The discussion includes architecture, operational efficiency, security concerns, cost-benefit analysis, and industrial applications. While the potential benefits include improved collaboration, cost reduction, and accessibility, challenges such as cybersecurity, internet dependency, and data latency need careful mitigation. Real-world case studies and comparative data help highlight the transformational capabilities of cloud-based CAM in driving digital manufacturing excellence.*    

Keywords: Cloud CAM, Smart Manufacturing, Industry 4.0, Remote Access, Cybersecurity, Digital Automation, CNC Integration, Cost Efficiency

Authors: J. R. Chaudhari, Dr. C. R. Patil

Abstract: In this paper vibration of beam are controlled using LQR controls. Smart beam is modeled using piezoelectric patches. Harmonic and modal analysis is done in a finite element tool (ANSYS 14.5). The dynamic behavior of smart beam is obtained using a system identification technique. The feedback control algorithm is implemented using National Instrument CRIO 9022 controller. It is observed that with this controller of 30% reductions are obtained in vibration amplitude. The presented control method is effective to suppress the vibration of the beam smart beam.

 

Authors: J. R. Chaudhari, Dr. C. R. Patil

Abstract: In this paper, the present work deals with modal analysis of uncrack and crack cantilever beam using FEA. Faulty structure subjected to change in local flexibility which affects vibration response of the structure. Therefore it is necessary to study the effect of fault on the structure. In this paper, aluminum un-crack and crack cantilever beam is used for analysis. Un-crack beam and cracked beam analyzed by using Euler equation considering various crack positions for the beam. Modal analysis of un-crack and crack beam is performed to find deflection and natural frequencies of beam. The results are presented in tabular form to show the effect of crack on change in natural frequencies. ANSYS software was used for the analysis of un-crack and crack beam.

Author: Dr. Anjali Mehta,Mr. Karan Singh

Abstract: High-precision micro-manufacturing has emerged as a pivotal technology enabling the fabrication of complex components with micrometer-scale accuracy across industries such as biomedical devices, aerospace, and electronics. Computer Aided Manufacturing (CAM) plays a crucial role in achieving the stringent precision and repeatability required in micro-manufacturing processes. This paper explores the integration of CAM systems in high-precision micro-manufacturing, focusing on key techniques, tools, and process optimization methods. The use of advanced simulation, toolpath generation, and feedback control in CAM ensures dimensional accuracy and surface quality at micro scales. Two tables detail common micro-manufacturing processes supported by CAM and compare conventional versus CAM-enabled micro-manufacturing outcomes. Challenges including tool wear, thermal effects, and machine vibrations are discussed along with emerging solutions. The paper concludes by highlighting future trends in CAM technologies tailored for micro-manufacturing applications.

KEYWORDS: Computer aided manufacturing, Micro-manufacturing, High-precision machining, Toolpath optimization, Process simulation

Authors: Dr. Priyanka Deshmukh, Mr. Rahul Mehta

Abstract: customization in manufacturing demands flexible, efficient, and precise process planning to accommodate a wide variety of product variants while maintaining low costs and lead times. Artificial intelligence (AI) has emerged as a transformative technology for process planning in Computer Aided Manufacturing (CAM) systems, enabling intelligent decision-making, optimization, and automation tailored for mass customization. This paper explores AI-powered process planning methodologies that integrate machine learning, optimization algorithms, and knowledge-based systems within CAM environments. The study evaluates benefits including improved adaptability, enhanced resource utilization, and reduced planning time. Two detailed tables present AI techniques applied in process planning and a comparative analysis of conventional versus AI-driven planning approaches. Challenges such as data requirements, model interpretability, and system integration are also discussed. The paper concludes with future directions to advance AI-powered process planning for mass customization in CAM

Keyword: Artificial intelligence, Process planning, Computer aided manufacturing, Mass customization, Machine learning, Optimization

Author: Dr. Arjun Mehta ,Ms. Riya Sharma  

ABSTRACT: The integration of Artificial Intelligence (AI) in Computer Aided Manufacturing (CAM) has transformed traditional manufacturing processes into intelligent, adaptive systems. AI-driven optimization enhances efficiency, accuracy, and productivity by automating decision-making and process control. This paper explores the application of AI algorithms such as machine learning, deep learning, and reinforcement learning in optimizing CAM operations. Key areas include tool path planning, predictive maintenance, quality control, and resource allocation. The study also presents a comparative analysis of AI techniques with conventional methods, highlighting benefits and challenges. A case study on AI implementation in CNC machining is discussed to illustrate practical advantages. Finally, the paper addresses future trends and the potential of AI to revolutionize manufacturing with smart factories and Industry 4.0 integration.*

KEYWORDS: Artificial Intelligence, Computer Aided Manufacturing, Optimization, Machine Learning, CNC, Predictive Maintenance

Author: Dr. Vikram Singh, Ms. Anjali Verma, 

ABSTRACT: The integration of Artificial Intelligence (AI) with Computer Numerical Control (CNC) programming has introduced novel advancements in tool path optimization, leading to enhanced machining efficiency and precision. This paper investigates AI-assisted algorithms for optimizing CNC tool paths to minimize machining time, reduce tool wear, and improve surface quality. Various AI techniques, including genetic algorithms, neural networks, and reinforcement learning, are reviewed for their applicability in CNC programming. A comparative analysis based on simulation results is presented, highlighting the benefits and challenges of AI-driven tool path strategies. The study concludes with future perspectives on the role of AI in revolutionizing CNC machining processes.

KEYWORDS: AI-Assisted CNC, Tool Path Optimization, Genetic Algorithms, Neural Networks, Reinforcement Learning, Machining Efficiency

Author:Dr. Kavita Sharma,Mr. Aditya Singh

Abstract: The advancement of Computer Aided Manufacturing (CAM) has significantly improved production efficiency and quality. However, machine downtime and unexpected failures remain major challenges affecting operational productivity. This paper investigates predictive maintenance strategies empowered by big data analytics to enhance the reliability and availability of CAM systems. It explores various data acquisition techniques, analytical models, and implementation frameworks that enable early fault detection and condition-based maintenance. Two comprehensive tables summarize key big data sources and compare predictive maintenance techniques. The study also addresses challenges such as data management, model accuracy, and integration complexities. Finally, the paper provides insights into future directions in leveraging big data analytics for smarter maintenance solutions in CAM environments.

 KEYWORDS

Predictive maintenance, Big data analytics, Computer aided manufacturing, Condition monitoring, Fault diagnosis, Data-driven maintenance

Author : Dr. Anjali Mehta,Dr. Anjali Mehta

Abstract: The integration of human–robot collaboration (HRC) in advanced manufacturing environments is transforming industrial production by combining human flexibility with robotic precision and endurance. This paper examines the state-of-the-art HRC frameworks, focusing on collaborative robot (cobot) design, safety considerations, communication protocols, and task allocation strategies. It explores the benefits of HRC including increased productivity, enhanced quality, and worker safety. Two detailed tables provide insights into key technologies enabling HRC and a comparative analysis of human-only, robot-only, and collaborative work scenarios. Challenges such as human-robot interface design, trust, and ethical considerations are also discussed. The paper concludes by highlighting future trends and the importance of fostering seamless human–robot partnerships for smart manufacturing systems.

KEYWORDS: Human–robot collaboration, Collaborative robots, Advanced manufacturing, Safety, Task allocation, Cobot communication

Author:Dr. Aishwarya Rao,Mr. Rahul Mehta

ABSTRACT:Digital Twin technology represents a pivotal advancement in the evolution of smart manufacturing systems. By creating a virtual replica of physical assets, processes, and systems, it enables real-time monitoring, simulation, and predictive analytics, thereby enhancing operational efficiency and reducing downtime. This paper explores the integration of Digital Twin technology within smart manufacturing frameworks, focusing on its key components, implementation strategies, and impact on production optimization. Additionally, challenges and future trends in Digital Twin adoption are discussed, emphasizing its potential to transform Industry 4.0 paradigms.

KEYWORDS: Digital Twin, Smart Manufacturing, Industry 4.0, Real-Time Monitoring, Predictive Analytics

Authors: Dr. Rohan Mehta, Associate Professor,Ms. Anjali Kapoor

Abstract: Hybrid manufacturing, which integrates additive and subtractive manufacturing processes, has emerged as a transformative approach in advanced production. This paper explores the concept, benefits, and challenges of hybrid manufacturing systems that combine the material efficiency and design freedom of additive manufacturing with the precision and surface finish of subtractive techniques. Detailed discussions focus on system architectures, process planning, and industrial applications. The study also evaluates recent technological advancements and future prospects for hybrid manufacturing in aerospace, automotive, and biomedical industries. Comprehensive tables summarize hybrid system types and process comparisons. This research highlights how hybrid manufacturing addresses limitations of individual processes and contributes to sustainable, flexible, and high-quality production.

KEYWORDS: Hybrid manufacturing, Additive manufacturing, Subtractive manufacturing, Process integration, Precision machining, Industrial applications

Author: Dr. Neha Verma,Mr. Rahul Singh

ABSTRACT:The increasing demand for customization and rapid product changes has led to the evolution of Flexible Manufacturing Systems (FMS) integrated with robotics and automation. This paper explores the role of robotics and automation technologies in enhancing flexibility, productivity, and efficiency in manufacturing lines. Key aspects include robotic workstations, automated material handling, and intelligent control systems that allow seamless product transitions with minimal downtime. The study reviews recent advancements in industrial robots, programmable automation, and sensor integration within FMS. A comparative analysis of different robotic technologies applied to flexible manufacturing is presented in a tabular form. The paper concludes by discussing challenges, future trends, and the impact of Industry 4.0 on flexible automation systems.

KEYWORDS: Flexible Manufacturing Systems, Robotics, Automation, Industrial Robots, Programmable Automation, Industry 4.0, Material Handling