International Journal of Mechatronics and Manufacturing Technology

Authors: Sunita Patel, K. Vijaylakshmi

Abstract: Mechatronics integrates mechanical engineering, electronics, computer science, and control systems to create efficient, automated, and intelligent systems. In the realm of sustainable manufacturing, mechatronics plays a pivotal role by optimizing processes, minimizing waste, and reducing energy consumption. This paper explores the integration of mechatronics in sustainable manufacturing, focusing on design methodologies, optimization strategies, and their practical implications in achieving environmental, economic, and operational sustainability. The study presents real-world examples, theoretical advancements, and technological innovations to highlight the transformative potential of mechatronics in modern manufacturing.

Keywords: Mechatronics, Sustainable Manufacturing, Optimization Strategies, Automation, Design Methodologies, Energy Efficiency

Author: Seema Tiwari

Abstract: Smart sensors have revolutionized modern manufacturing processes by enabling real-time monitoring, precision, and enhanced efficiency. This paper explores the technological advancements in smart sensors, their integration into the Internet of Things (IoT) frameworks, and their role in predictive maintenance, quality control, and process optimization. Through case studies and a discussion of emerging trends, we analyze the challenges and opportunities associated with deploying smart sensors in manufacturing.

Keywords: Smart Sensors, Manufacturing Process, IoT, Real-time Monitoring, Predictive Maintenance, Process Optimization

Authors: Sunita Patil, Mayank Agarwal

Abstract: Additive Manufacturing (AM) and Mechatronics are two transformative fields that, when integrated, have the potential to revolutionize industrial processes. AM, commonly referred to as 3D printing, enables the creation of complex structures layer by layer, while Mechatronics combines mechanical engineering, electronics, and computer science to develop automated systems. This paper explores the intersection of these technologies, highlighting their synergies, applications, and challenges. It discusses how this integration bridges technological gaps in design, manufacturing, and automation, enabling rapid prototyping, customized production, and enhanced operational efficiency. The paper concludes with insights into future trends and innovations in the combined domain of AM and Mechatronics.

Keywords: Additive Manufacturing, Mechatronics, Automation, 3D Printing, Prototyping, Technological Integration, Smart Manufacturing

Author: Pankaj Gupta

Abstract: The integration of advanced robotics into modern manufacturing has transformed industries worldwide, driving automation and improving efficiency. Among the most innovative advancements in this field are collaborative robots (cobots), which work alongside human operators, offering flexibility, safety, and increased productivity. This review explores the evolution, technological advancements, and applications of collaborative robots in modern manufacturing environments. We discuss the key features of cobots, including their ease of integration, collaborative capabilities, and their impact on workforce dynamics. Furthermore, this paper examines the various industries that have adopted cobots, challenges faced during implementation, and future trends in collaborative robotics. The findings emphasize the significant role of cobots in reshaping the future of manufacturing, with a focus on enhancing human-robot interaction, improving safety, and optimizing production processes.

Keywords: Collaborative Robots, Advanced Robotics, Manufacturing Automation, Human-Robot Collaboration, Industry 4.0, Robotics in Manufacturing, Automation, Workforce Transformation

Authors: Sakshi Verma, Mridul Gupta

Abstract: The integration of Artificial Intelligence (AI) into Mechatronic Systems Design represents a paradigm shift, enhancing system performance, flexibility, and adaptability in dynamic environments. This paper explores the role of AI in transforming traditional mechatronic systems, focusing on intelligent control systems, adaptive learning, fault detection, and decision-making processes. The paper also examines key methodologies such as machine learning, neural networks, and expert systems in optimizing mechatronic designs. Practical applications of AI in mechatronic fields, such as robotics, autonomous vehicles, and manufacturing automation, are discussed. This paper aims to provide a comprehensive analysis of the opportunities and challenges posed by the integration of AI in mechatronic system design, offering insights into future trends.

Keywords: Artificial Intelligence, Mechatronic Systems, Machine Learning, Control Systems, Robotics, Autonomous Vehicles, System Optimization, Fault Detection, Adaptive Learning, Decision Making.

Author: Yugam Patel

Abstract: This paper discusses additive manufacturing (AM) technologies and their impact on mechatronics. Additive manufacturing, also known as 3D printing, has gained significant attention in recent years for its ability to produce complex geometries, reduce material waste, and enable rapid prototyping. The paper provides an overview of various AM processes such as Fused Deposition Modeling (FDM), Selective Laser Sintering (SLS), and Stereolithography (SLA) and their applications in mechatronic systems. It explores how AM is reshaping the design, production, and maintenance of mechatronic components, leading to innovations in product development and customization.

Keywords: Additive Manufacturing, Mechatronics, 3D Printing, Rapid Prototyping, Product Development

Authors: Pooja Verma, Sandeep Kumar, Manisha Gupta

Abstract: Intelligent manufacturing, driven by mechatronics and advanced control systems, represents a significant leap forward in the field of manufacturing technology. Mechatronics, which combines mechanical engineering, electronics, computer science, and control engineering, enables the creation of intelligent systems that enhance manufacturing processes. This paper examines the impact of mechatronics and advanced control systems on intelligent manufacturing, focusing on key technological advancements and their applications. By analyzing various case studies and technological innovations, we highlight how these systems improve production efficiency, precision, and adaptability. The integration of real-time data processing, robotics, and intelligent control mechanisms has enabled manufacturers to develop highly automated and responsive production environments. Additionally, this paper addresses the challenges associated with implementing intelligent manufacturing systems, including issues related to system integration, cost, and the need for skilled workforce. Potential solutions and future trends in intelligent manufacturing are also discussed.

Keywords: Intelligent manufacturing, Mechatronics, Advanced control systems, Real-time data processing, Automation

Authors: Richa Verma, Meena Yadav, Vikram Patel

Abstract: The advent of robotics and mechatronics has brought about a paradigm shift in modern manufacturing technology. These interdisciplinary fields, which merge mechanical engineering, electronics, computer science, and control engineering, have led to the creation of sophisticated manufacturing systems that enhance productivity, accuracy, and adaptability. This paper provides an in-depth analysis of the role of robotics and mechatronics in transforming manufacturing processes. Through detailed case studies and technological assessments, we explore the advancements and applications of mechatronics in various manufacturing sectors. The implementation of robotic systems and intelligent control mechanisms has facilitated the development of automated, efficient, and customizable production environments. Additionally, this paper discusses the challenges faced in integrating mechatronics and robotics into manufacturing, such as high implementation costs, technical complexities, and the need for workforce upskilling. Potential solutions and future directions in mechatronics and robotics-driven manufacturing are also examined.

Keywords: Robotics, Mechatronics, Manufacturing technology, Automation, Workforce upskilling

Authors: Sanya Mehta, Manoj Kumar, Ravi Verma

Abstract: The integration of mechatronics into manufacturing processes has brought about significant improvements in efficiency, precision, and flexibility. Mechatronics, a multidisciplinary field combining mechanical engineering, electronics, computer science, and control engineering, enables the development of advanced manufacturing systems. This paper delves into the various applications of mechatronics in manufacturing, highlighting key advancements and their impact on production processes. By leveraging case studies and real-world examples, we illustrate how mechatronics has been instrumental in optimizing manufacturing operations. The incorporation of intelligent control systems, robotics, and real-time data analysis has enabled manufacturers to achieve higher levels of automation and customization. Additionally, the paper addresses the challenges associated with implementing mechatronics in manufacturing environments, such as the need for skilled personnel, system integration complexities, and cost considerations. The potential solutions and future trends in mechatronics-driven manufacturing are also explored.

Keywords: Mechatronics, Manufacturing systems, Automation, Real-time data analysis, Customization

Authors: Rakesh Verma, Prof. Priya Desai

Abstract: Mechatronics, an interdisciplinary field combining mechanical engineering, electronics, computer science, and control engineering, has revolutionized modern manufacturing technology. The integration of these diverse technologies has led to the development of advanced mechatronics systems, enhancing efficiency, precision, and flexibility in manufacturing processes. This paper explores the evolution, applications, and future prospects of mechatronics in manufacturing technology. By examining various case studies and technological advancements, we aim to provide a comprehensive understanding of how mechatronics is reshaping the manufacturing landscape. The integration of robotics, intelligent control systems, and real-time data processing has not only improved production capabilities but also enabled the development of smart factories. These advancements are crucial for meeting the increasing demands for high-quality products, customization, and rapid production cycles. Furthermore, this paper discusses the challenges and potential solutions associated with the implementation of mechatronics in manufacturing, including issues related to system integration, cost, and workforce training.

Keywords: Mechatronics, Manufacturing technology, Smart factories, Robotics, Intelligent control systems

Author: Devki Mahajan

Abstract: Traceability in manufacturing systems has become increasingly critical for ensuring product quality, regulatory compliance, and supply chain transparency. Traditional traceability systems often face challenges such as centralized data storage, susceptibility to tampering, and limited interoperability. Blockchain technology, with its decentralized ledger, immutability, and transparency, offers a promising solution for enhancing traceability across manufacturing operations. This paper reviews the application of blockchain-enabled traceability in modern manufacturing systems, highlighting its architecture, implementation frameworks, benefits, and challenges. Additionally, we discuss case studies of blockchain adoption in the manufacturing industry and present future research directions.

Keywords: Blockchain, Manufacturing Systems, Traceability, Supply Chain Transparency, Decentralized Ledger, Smart Manufacturing

Authors: Raghuver Sharma, Mohan Lal Verma, Deepak Chatterjee

Abstract: Precision assembly is a critical requirement in modern manufacturing sectors such as electronics, biomedical devices, aerospace, and micro-mechanical systems. Conventional rigid robotic manipulators provide repeatability and speed, but often lack adaptability, compliance, and dexterity required for delicate or complex assembly tasks. Bio-inspired robotic manipulators, designed based on biological structures like human hands, octopus arms, elephant trunks, and insect limbs, offer promising solutions for precision assembly through enhanced flexibility, compliant grasping, and adaptive control. This paper presents a comprehensive review of bio-inspired robotic manipulators for precision assembly applications. The study discusses biological inspirations, design principles, actuation strategies, sensing integration, control techniques, and assembly performance. Advantages and challenges are analysed with respect to conventional industrial manipulators. Applications in micro-assembly, electronics assembly, and medical device manufacturing are reviewed. Finally, future research directions including soft robotics integration, AI-assisted control, and smart material actuators are presented. Bio-inspired manipulators show significant potential in improving precision, safety, and adaptability in next-generation assembly automation.

Keywords: Bio-inspired robotics, robotic manipulators, precision assembly, soft robotics, compliant grippers, industrial automation

Authors: Dharmende Tiwari, Devansh Pathak, Ajay Pratap Singh

Abstract: Intralogistics operations inside factories, warehouses and distribution centers are becoming more complex due to mass customization, e-commerce growth and demand for flexible production. Traditional material handling systems such as conveyors and manually operated forklifts are rigid and less adaptive to dynamic layouts. Autonomous mobile robots (AMRs) are emerging as a key enabling technology for smart intralogistics because they can navigate autonomously, collaborate with human workers and optimize internal transport tasks. This paper presents a comprehensive review of AMR technologies used in intralogistics, including navigation, perception, fleet coordination and task allocation. It also discusses integration with warehouse management systems, safety considerations and industrial applications. Advantages such as scalability, flexibility and efficiency improvement are analyzed along with challenges related to localization reliability, traffic congestion and cybersecurity. The study highlights recent trends such as swarm intelligence, AI-based perception and cloud robotics. Future research directions for resilient and adaptive intralogistics systems are also suggested.

Keywords: Autonomous mobile robots, intralogistics, warehouse automation, fleet management, smart factory, material handling

Authors: Ashok Verma , Sailendra Pathak , Avinash Sriwastav

Abstract: Production scheduling is a critical aspect of modern manufacturing, directly impacting operational efficiency, resource utilization, and customer satisfaction. Traditional scheduling methods often fail to adapt in real-time to uncertainties such as machine breakdowns, variable processing times, and fluctuating demand. Recent advances in artificial intelligence (AI) have opened new possibilities for dynamic and real-time production scheduling optimization. AI-driven approaches leverage machine learning, reinforcement learning, and heuristic optimization to create adaptive schedules that respond in real-time to manufacturing environment changes. This paper presents a comprehensive review of AI-based real-time production scheduling techniques, focusing on methodologies, system architectures, implementation challenges, and performance outcomes. The paper also discusses case studies and simulation results, demonstrating the effectiveness of AI-driven scheduling in reducing makespan, minimizing idle times, and enhancing overall production flexibility. Future research directions emphasize hybrid models, integration with Industry 4.0 technologies, and human-in-the-loop decision systems.

Keywords: Real-time scheduling, AI optimization, production planning, manufacturing systems, machine learning, reinforcement learning, Industry 4.0.

Authors: Sravesh Chatterjee , Heena Sahab , Tribhuwan Rana

Abstract: Industrial robots are widely adopted in modern manufacturing systems due to their precision, flexibility and productivity. However, robot failures and unexpected downtime leads to production losses, safety risks and high maintenance cost. Traditional maintenance approaches such as reactive or preventive maintenance are not sufficient for complex robotic systems where faults can develop gradually and unpredictably. Artificial intelligence (AI) techniques provide advanced capability for robot fault diagnosis and predictive maintenance by learning patterns from sensor data and detecting anomalies before failure occurs. This paper reviews AI-based methods used in robot fault detection, classification and remaining useful life prediction. Machine learning, deep learning, signal processing and data-driven health monitoring approaches are discussed. Applications in industrial robots, collaborative robots and autonomous robotic systems are examined. Challenges such as data scarcity, model interpretability and real-time implementation are also analyzed. The review shows that AI-based predictive maintenance significantly improves reliability, reduces downtime and supports smart manufacturing. Future research directions include digital twins, edge AI and self-healing robotic systems.

Keywords: robot fault diagnosis, predictive maintenance, artificial intelligence, machine learning, industrial robots, condition monitoring, anomaly detection, smart manufacturing

Authors: Raghav Mehta , Prabhunath Chatterjee , Shobha Yadav , Anant Goyal

Abstract: Soft robotics has emerged as a transformative field that bridges traditional robotics with the flexibility, adaptability, and resilience observed in biological systems. Unlike conventional rigid robots, soft robots utilize compliant materials and bio-inspired actuation strategies to perform tasks in unstructured and dynamic environments. This review focuses on the fundamental principles of soft robotics, various types of bio-inspired actuators, and their applications in industries, healthcare, and exploration. Challenges related to material selection, control strategies, and scalability are discussed alongside recent advancements in fabrication and sensing techniques. The paper also highlights future directions for integrating artificial intelligence and novel biomimetic designs into soft robotic systems.

Keywords: Soft robotics, bio-inspired actuation, continuum robots, compliant mechanisms, biomimetics, soft actuators

Authors: Riya Chaudhary, Arjun Prasad, Surabhi Deshpande

Abstract: The concept of smart factories has emerged as a key component of modern manufacturing systems, mainly driven by the integration of digital technologies with traditional industrial processes. Cyber Physical Systems (CPS) play a central role in enabling this transformation by connecting physical machinery with computational intelligence and communication networks. In a smart factory environment, CPS allows machines, sensors, and control systems to communicate with each other, monitor production activities, and make real time decisions. This paper reviews the concept of Cyber Physical Systems in smart factories, discussing their architecture, components, technologies, and applications. The paper also highlights benefits such as improved productivity, predictive maintenance, and flexible manufacturing. Additionally, challenges including cybersecurity risks, system complexity, and high implementation cost are examined. The study provides an overview of how CPS can support intelligent manufacturing and contribute to the advancement of Industry 4.0.

Keywords: Cyber Physical Systems, Smart Factory, Industry 4.0, Industrial Automation, IoT, Digital Manufacturing

Authors: Rajeev Ranjan Prasad , Rupali Vijayvargiya

Abstract: Mechatronics, an interdisciplinary domain combining mechanical, electronics, and computational engineering, increasingly relies on sensor fusion and realtime data acquisition to improve system performance and reliability. Sensor fusion allows integration of data from multiple sensors, reducing uncertainties and enhancing decision-making in dynamic environments. Real-time data acquisition ensures timely monitoring and control, vital for adaptive and autonomous systems. This paper reviews recent advances in sensor fusion algorithms, hardware architectures for data acquisition, and applications in robotics, manufacturing, and automation. Challenges such as synchronization, noise filtering, and computational complexity are discussed. Furthermore, the paper presents case studies highlighting practical implementations, and identifies future research directions to advance mechatronic system intelligence.

Keywords: Sensor fusion, real-time data acquisition, mechatronics, multisensor integration, robotics, manufacturing automation

Authors: Rohan T. Pawar , Meera S. Rathore

Abstract: Robot vision and AI-based recognition systems have emerged as critical technologies enabling artificial agents to perceive, understand, and interpret visual information from the environment. This paper reviews recent advancements in robot vision, deep learning models used in recognition tasks, and the integration of AI systems with robotics platforms. The review discusses core algorithms, sensing modalities, applications, and challenges faced by developers and researchers. Through comparing classical vision techniques with modern AI approaches, the paper highlights how convolutional neural networks (CNNs), transformer architectures, and sensor fusion methods improve accuracy and reliability. The paper also outlines future directions where robot vision can evolve more adaptively in real-world scenarios, especially under dynamic environmental conditions. Case studies and statistical comparisons are included to illustrate performance differences across popular models. The overall purpose of this review is to support researchers, students, and engineers looking for consolidated and practical insights.

Keywords: Robot Vision, Artificial Intelligence, Image Recognition, Deep Learning, Sensor Fusion, Object Detection, Visual Perception, Neural Networks, Real-Time Processing

Authors: Shyam Pathak, Sudarshan Singh

Abstract: Distributed manufacturing is rapidly gaining attention as industries aim for flexible, scalable, and resilient production systems. Traditional centralized manufacturing approaches often struggle with inefficiency, high costs, and vulnerability to system failures. Swarm robotics, inspired by the collective behavior of social insects, presents a promising solution for distributed manufacturing environments. This review examines the principles of swarm robotics, its applications in distributed manufacturing, key advantages, limitations, and future prospects. We discuss various algorithms for task allocation, coordination, and communication among robotic swarms, highlighting their potential to improve productivity and fault tolerance. Case studies from recent literature demonstrate how swarm robotics can optimize material handling, assembly, and inspection tasks. The paper concludes by identifying research gaps and suggesting directions for further study.

Keywords: Swarm robotics, distributed manufacturing, multi-agent systems, task allocation, industrial automation, collective behavior.

Authors:- Anurag Kashyap, Somkant R. Jawarkar

Abstract:- The purpose of this work is to estimate the low cycle life of a turbine blisk. The turbine blisk operates under harsh circumstances, resulting in aerodynamic stresses and significant centrifugal loads. The weights on the turbine blisk change depending on the vehicle's mission profile, which includes takeoff, cruising, and landing. A finite element study of elastic-plastic materials is performed. Then Code Design Life tool is used to estimate the life expectancy at the obtained stress and strain levels. The strain life technique is used to estimate life, and the Smith-Watson Topper's approach is used to do mean stress correction.

Keywords:- Turbine Blisk, Low Cycle Fatigue, Strain-Life Approach, Palmgren-Miner’s Rule, Mean Stress Correction.

Authors:- Varsha Parakh, Vaishnavi Mahajan, Rahul Kadvani

Abstract:- The new BS-VI standards will reduce NOx, HC, and PM levels in diesel and gasoline engines. Diesel engines will have fewer NOx, HC + NOx, and PM levels. The emissions from the engines will be measured in a different way than in the previous approach; particle counting equipment will be used to count the particulate materials that come out of the engines' exhaust. Particulate matter is classified into three types: soot, insoluble portions, and soluble parts. A Diesel Particulate Filter (DPF) is used to reduce particulate matter emissions from diesel engines. In this review article, we will look at the makeup of diesel exhaust gases, different forms of particulate matter, the need for and evolution of BS-VI engine standards, techniques for measuring engine emissions, and the Diesel Particulate Filter. This review study also discusses the future scope of real-time driving emissions.

Keywords:- Bharat Stage-VI Norms, Particulate Matter, Diesel Particulate Filter, Real time Driving Emissions

Authors:- Chitra Khandelwal, Namitha Shivanna, Dr. N. P. Shivashankar

Abstract:- Drinking water has recently emerged as the most pressing issue confronting practically the whole planet. It is a chronic issue of paramount importance, especially in a country like India that has gotten little attention. Although individuals can handle water, the quality of drinking water appears to be an issue, which eventually impacts the body's general health. While everyone around the world recognises the significance of Himalayan water and its attributes as "drinking water," the research looks into how water accessible in households may be transformed into the greatest possible drinking water with the necessary qualities. One method for achieving health is to consume alkaline water. There has been very little study done on it. As a result, working on the technology to obtain the needed alkalinity of the output water was viewed as a problem. This technique may supply the user with not just alkalinity but also any pH value within the given range. Water ionisers used to produce varied pH levels are relatively costly in foreign nations due to the use of platinum sheets as electrodes. This research focuses on replacing platinum electrodes with SS316 plates as electrodes to get water with varying pH levels.

Keywords:- Ph Values, Low cost water ionizer, SS316L plates, Drinking water.