|About this Abstract
||2020 TMS Annual Meeting & Exhibition
||High Entropy Alloys VIII
||Development and Application of Phase-based Data Repository via CALPHAD Method in the HEA Discovery
||Chuan Zhang, Rui Feng, Song-Mao Liang, Michael C. Gao, Fan Zhang, Peter K. Liaw
|On-Site Speaker (Planned)
The concept of high-entropy alloys (HEAs) opens a vast compositional space for potential alloys with promising properties. Since a successful structural material must simultaneously satisfy a demanding balance of over a dozen different properties, it is extremely challenging when use pure experimental investigations or traditional computational thermodynamics approach. In the present work, the phase-based data repository is developed for HEAs using the CALPHAD approach, which includes not only the thermochemical but also thermophysical information for various properties. We are then able to efficiently map different properties within the whole composition space of a system by coupling this phase-based data repository with the CALPHAD-based HTC tool, which enables the high-throughput design of high-performance HEAs with object-oriented design strategies.
||Planned: Supplemental Proceedings volume; Planned: Supplemental Proceedings volume