An integrated computational materials engineering (ICME) methodology was applied in this study to systematically and quantitatively study the second phase dissolution kinetics during the solution treatment process of a high pressure die cast magnesium sample. The study was conducted on Mg–9 wt% Al, Mg–5 wt% Al, and Mg–11 wt% Al binary alloys after isothermal solution treatments ranging from 380 to 420 °C. The experimental measurements revealed an exponential decrease of the volume fraction of the second β-phase (Mg₁₇Al₁₂) during the solution treatment. A CALPHAD-based computational tool (Thermocalc DICTRA Diffusion Module) was used to simulate the dissolution process. In this study, measurements from as-cast samples were used as input parameters to improve the accuracy of the predicted results. An analytical, physics-based micro-model, based on the Johnson–Mehl–Avrami type equation, was also applied to study the dissolution kinetics. Both the simulation and micro-model quantitatively agree with the experimental results at all solution treatment temperatures. Calibration and verification of a few input parameters help to understand the assumptions made in the modeling, improve the accuracy of the prediction, and can be applicable in different Mg–Al binary alloys. Adopting such an ICME methodology for modeling development and verification in predicting the dissolution kinetics during solution treatment will allow for more rapid optimization of solution treatments procedures to be used in industrial applications.

本研究采用集成计算材料工程学（ICME）方法，系统地和定量地研究了高压压铸镁样品固溶处理过程中第二相的溶解动力学。在380至420°C的等温固溶处理之后，对Mg–9 wt％Al，Mg–5 wt％Al和Mg–11 wt％Al二元合金进行了研究。实验测量表明，第二个β相（Mg ₁₇ Al ₁₂）在固溶处理期间。基于CALPHAD的计算工具（Thermocalc DICTRA扩散模块）用于模拟溶出过程。在这项研究中，将铸态样品的测量值用作输入参数，以提高预测结果的准确性。基于Johnson-Mehl-Avrami型方程的基于物理学的解析微观模型也被用于研究溶解动力学。在所有固溶处理温度下，仿真和微观模型均与实验结果在数量上吻合。校准和验证一些输入参数有助于理解建模中的假设，提高预测的准确性，并可应用于不同的Mg-Al二元合金。