Optimization and prediction of wear in LM25–B₄C/EN31 tribopair using Taguchi method and machine learning model
This study aimed to analyse the interfacial contact between LM25-B4C composite and steel EN 31 tribopairs via pin-on-disc wear tests. The Taguchi approach was employed to design the pin-on-disc experiments to evaluate the tribological properties of the material system. The optimal conditions for the lowest wear rate we...