Abstract
To reveal the complex relationship between the wear properties of medium manganese steel and related parameters, the effects of silicon elements and heat treatment temperature on the wear properties of medium manganese steel under different impact energies were discussed. The microstructure, hardness, impact toughness, and wear resistance were analyzed by various tests. Based on machine learning, a comprehensive framework linking the alloy composition, heat treatment, and wear characteristics of Fe-Mn-Al-C medium manganese steel was developed. After experimental analysis and verification, silicon-containing steel shows the best wear resistance under high impact load at 700 °C heat treatment temperature. In addition, the IPSO-SVM model effectively predicted the impact wear performance, reaching an R2 value of 0.97 during testing.
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