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
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