AC4CHアルミニウム合金の鋳造ならびに熱処理状態における微細組織と機械的性質予測のためのメタモデリング

抄録

  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.