Authors: Dr. Ananya Rao, Ritvik Sharma
Abstract: Artificial Intelligence (AI) is increasingly becoming a crucial part of Computer-Aided Manufacturing (CAM), particularly in the domain of tool path optimization. Tool path generation is a core function in CAM software, determining the efficiency, accuracy, and productivity of machining processes. Traditional tool path generation methods rely on heuristic or deterministic algorithms, which often fall short in handling complex geometries or multi-objective criteria. AI techniques such as machine learning, genetic algorithms, and neural networks enable dynamic, adaptive, and intelligent tool path planning, leading to improved surface finish, reduced machining time, and lower tool wear. This paper presents a detailed analysis of the application of AI in tool path optimization, highlighting key methods, advantages, and challenges. Furthermore, the paper explores real-world implementations and the future potential of integrating AI with CAM systems for intelligent manufacturing. </div>
Keywords: Artificial Intelligence, Tool Path Optimization, CAM, Machine Learning, Genetic Algorithm, Smart Manufacturing, CNC, Deep Learning
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