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Application of Artificial Neuron Network in roughness prediction: A case study in turning of stainless steelBy Yogesh Navnath Jagdale, Krushna Bhagvant Nemlekar, Aditya Chandrashekhar Savekar, Prof Nalini Deepthi
Abstract: - Artificial neural networks offer a practical and efficient way to choose the best machining parameters for the turning process in order to reduce surface roughness, the resulting cutting forces, and maximize tool life. Surface roughness is a significant aspect in the evaluation of cutting performance and plays a significant role in the manufacturing process. The goal of this project is to create a model based on an Artificial Neural …
Published in International Journal of Computer Aided Manufacturing · Vol. 8, Issue 1, 2022 · pp. 21–26 Read article →