Interpretability ML and AI accelerate the computation of fretting wear behaviours and parameter response of corroded copper-magnesium alloy for the prediction model

Wear 2026

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Authors: Bin Rong, Bo Hu Li, Si-yuan Ding, Yi Zhou, Yi-juan Tang, Jinfang Peng, Min-hao Zhu

DOI: 10.1016/j.wear.2025.206434

Cited by: 2

References: 43

Fields of Study & Subjects

Mechanical stress and fatigue analysis Electrical Contact Performance and Analysis Railway Engineering and Dynamics

References 43