Metamodeling for Predicting Microstructure and Mechanical Properties of AC4CH Aluminum Alloy under Casting and Heat-Treated Conditions

Abstract

  This study introduces a metamodeling approach to predict the microstructure and mechanical properties of aluminum alloys during casting and heat treatment processes. Using a step-shaped specimen with varying cooling rates, the microstructure and mechanical properties in both as-cast and T6 heat-treated states were predicted based on physical models. Since thermodynamic calculations require significant computational time, Orthogonal Latin Hypercube Design (OLHD) sampling and Kriging-based metamodeling were employed to reduce computation time while maintaining predictive accuracy. The present method was applied to a step-shaped cast specimen, and predicted values were compared with experimental data, confirming that they were satisfactory.