• Kulampalli Suresh
• Dr.V.N.Sudheer
• Dr. Gowthami .V

Abstract: The integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies into Computer Numerical Control (CNC) machines is revolutionizing the manufacturing industry by automating the code generation process traditionally handled by Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) systems. This paper explores the advancements in AI and ML that enable CNC machines to autonomously interpret CAD designs, optimize tool paths, and generate efficient G-code with minimal human intervention. By leveraging deep learning algorithms, AI-enhanced CAM systems can analyze large datasets of past designs and machining operations, enabling them to predict and prevent potential manufacturing errors, optimize material usage, and reduce machining time. Furthermore, the use of AI in adaptive learning allows the CNC systems to continuously improve their performance by learning from new data and adapting to different machining environments. The result is a significant improvement in productivity, precision, and cost-effectiveness in the manufacturing process, paving the way for smarter, more autonomous CNC machining solutions.

Keywords: CAD, CAM, Artificial Intelligence, Machine Learning, etc.

"AI and Machine Learning Technologies used in CNC machine Automated Code-Generating Technology (CAD/CAM Design)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 8, page no.f501-f504, August-2024, Available :http://www.jetir.org/papers/JETIR2408665.pdf

"AI and Machine Learning Technologies used in CNC machine Automated Code-Generating Technology (CAD/CAM Design)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 8, page no. ppf501-f504, August-2024, Available at : http://www.jetir.org/papers/JETIR2408665.pdf