A Novel Approach for Optimizing Wire Electric Discharge Machining of Mg-Cu-RE-Zr Alloy Using Machine Learning Algorithm
Ranganatha Swamy M. K.,
D. V. S. S. S. V. Prasad,
Hari Banda
et al.
Abstract:This study focuses on the optimisation of the wire electric discharge machining (WEDM) process for WE43 alloy using machine learning methods. The alloy, made of magnesium (Mg), copper (Cu), rare earth (RE) elements, and zirconium (Zr), is extensively employed in aerospace and automotive sectors for its lightweight and high-strength features. The research applies three machine learning models—artificial neural networks (ANN), random forest (RF), and decision trees (DT)—to optimize the important process paramete… Show more
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