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Artificial neural network- multi-criteria decision making approaches to predict and validate the role of roughness parameters of D2 tool steel generated by various machining processes on friction and wear under dry and lubricated conditions

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Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, Ahead of Print.
Dies made of D2 tool steel commonly fail in heavy-duty cutting due to excessive wear from contact with sheet metal. Their wear resistance depends on steel composition, heat and surface treatment, and machining quality. Surface roughness from machining is ...