AI-OPTIMIZED ELECTRICAL DISCHARGE MACHINING FOR PRECISION MANUFACTURIN - Patel, Rajendra;PATTANAYAK, JAGDISH
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AI-Optimized Electrical Discharge Machining for Precision Manufacturing Abstract Electrical Discharge Machining (EDM) is a widely used non-traditional machining process that provides high precision and complex geometrical shapes in hard-to-machine materials. However, optimizing EDM parameters remains a challenge due to its stochastic nature and dependency on multiple process variables. The integration of Artificial Intelligence (AI) techniques in EDM has emerged as a transformative approach to enhance efficiency, precision, and surface quality. This study explores various AI-based…mehr

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Produktbeschreibung
AI-Optimized Electrical Discharge Machining for Precision Manufacturing Abstract Electrical Discharge Machining (EDM) is a widely used non-traditional machining process that provides high precision and complex geometrical shapes in hard-to-machine materials. However, optimizing EDM parameters remains a challenge due to its stochastic nature and dependency on multiple process variables. The integration of Artificial Intelligence (AI) techniques in EDM has emerged as a transformative approach to enhance efficiency, precision, and surface quality. This study explores various AI-based methodologies such as machine learning, artificial neural networks, fuzzy logic, and genetic algorithms for optimizing EDM process parameters. The aim is to develop a comprehensive AI-based optimization framework to improve machining performance, reduce tool wear, and enhance material removal rates.
Autorenporträt
Rajendra Kumar Patel is an Assistant Professor in the Mechanical Engineering Department at Shri Rawatpura Sarkar University, Raipur, Chhattisgarh. He earned his Master's degree from Chhattisgarh Swami Vivekanand Technical University (CSVTU), Bhilai, in 2015.