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Design of experiments integrated with neural networks for optimization and predictive modelling of electrode wear of novel Ti-6Al-4V-SiCp composites during die sinking electric discharge machining

Die Sink Electric Discharge Machining is a widely used manufacturing process for shaping hard and electrically conductive materials. This study investigates the effects of various electrode materials such as, Ti-6Al-4V-SiCp, Brass and Copper on the machining performance of AISI 316 l Stainless Steel...

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Principais autores: Adithya Hegde, Raviraj Shetty, Rajesh Nayak, Sawan Shetty
Formato: Artigo
Idioma:Inglês
Publicado em: IOP Publishing 2024-01-01
coleção:Materials Research Express
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Acesso em linha:https://doi.org/10.1088/2053-1591/ad4f59
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