The Mechanical Performance Prediction of Steel Materials based on Random Forest

Shihao Wang; Xiangxiang Wu

doi:10.54097/fcis.v6i1.01

Authors

Shihao Wang
Xiangxiang Wu

DOI:

https://doi.org/10.54097/fcis.v6i1.01

Keywords:

Yield Strength, Tensile Strength, Elongation, Random Forest Algorithm

Abstract

The mechanical performance of steel materials is crucial for the design, selection, and application of materials. In order to better predict the mechanical performance through chemical composition and process parameters, this paper establishes a predictive model for the mechanical properties of steel materials based on the random forest algorithm. The model predicts yield strength, tensile strength, and elongation based on chemical composition and process parameters. The results indicate that the random forest algorithm model demonstrates excellent performance in predicting the mechanical properties of steel materials.

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