Identification of the Eutectic Points in the Multicomponent Systems with the High-Throughput CALPHAD Approach

Abstract

Eutectic materials have long been an area of interest, and the identification of eutectic points is crucial in materials design to utilize their unique properties. In multicomponent systems, finding eutectic points can be challenging due to the complexity of the systems, and the traditional CALPHAD method lacks efficiency in such tasks. Therefore, a high-throughput CALPHAD method utilizing TC-Python was applied to identify eutectic points in the present work using the Al-Mg-Zn-Cu system as a case study. The proposed method was tested in binary, ternary, and quaternary systems for its reliability and accuracy in predicting eutectic points. In addition, two screening approaches were developed to examine the results and determine the eutectic points. Results showed that the high-throughput method was able to identify a eutectic point in the Al-Mg-Zn-Cu quaternary system with the composition 50Al-14Mg-23Zn-13Cu. Binary and ternary results matched well with existing data, and the quaternary result showed the high-throughput method's capability in other quaternary or even higher-order systems.