|About this Abstract
||1st World Congress on High Entropy Alloys (HEA 2019)
||High Entropy Alloys 2019
||CALPHAD-based Informatics Tools for High-entropy Alloy Design
||Chuan Zhang, Rui Feng, Zongrui Pei, Weisheng Cao, Fan Zhang, Michael C. Gao, Peter K. Liaw
|On-Site Speaker (Planned)
High-entropy alloys (HEAs) attract tremendous interest in the development of new metallic materials with improved property combinations. The vastness in HEA compositional space provides us both opportunities and challenges. To accelerate the HEA development by tuning the structure-property relationship, the accurate and efficient prediction of microstructures of a material as a function of temperature, and composition is essential. As the only method to obtain multi-component phase diagrams with enough accuracy for practical applications, the CALPHAD approach is widely used in the design and development of HEAs. Recently, the CALPHAD-based high-throughput tools are also developed to efficiently explore the entire compositional space and screen potential HEAs with desired microstructures. In the present work, the application of the CALPHAD-based informatics tool for the design of high-performance Al-Cr-Fe-Mn-Ti alloys with object-oriented design strategies is presented. Experimental verifications and first-principles calculations are also carried to verify CALPHAD prediction.