Component design optimization method of high-strength steel for low-cost automobile

The invention relates to a composition design optimization method for high-strength steel for a low-cost automobile, and belongs to the technical field of metal material composition optimization methods. According to the technical scheme, the method comprises the steps that yield strength mechanical property data and tensile strength mechanical property data of hot rolled coils of high-strength steel at different components and temperatures in a hot rolling production factory are collected and integrated into an experience mechanical property data set; the historical data training model and the component prediction model train the data set through a random forest algorithm, and the yield strength mechanical property and the tensile strength mechanical property of the new high-strength steel component design scheme are predicted; and counting mechanical property data, and positioning an optimal high-strength steel component scheme according to component design requirements. The method has the beneficial effect