|About this Abstract
||3rd World Congress on High Entropy Alloys (HEA 2023)
||Predicting the Strength of Multi-principal Element Alloys: A Mechanistic Data-driven Approach
||Ali Rida, Markus Sudmanns, Yanfei Wang, Zhuocheng Xie, Xiaolong Ma, Wenxin Zhou, Yejun Gu, Jaafar A. El-Awady, Huajian Gao
|On-Site Speaker (Planned)
Although Multi-principal element alloys (MPEAs) are still in their early stages of development, they have demonstrated great potential for significant improvement in material properties compared to conventional alloys. It was found that some alloys exhibit an impressive combination of strength and ductility. However, the variation in microstructure contrasts with empiric models such as the Hall-Petch relation, which aim to capture the basic trends using a few parameters. One significant challenge in developing robust physics-based models for predicting the yield stress is therefore to provide quantitative measures for the statistical uncertainty originating from the microstructural variation. Here, we present a combined mechanistic data-driven and experimental approach for predicting the yield strength in NiCoCr, NiCoV, and CrMnFeCoNi and quantify the influence of different microstructural features on the yield strength and its statistical distribution. We demonstrate the applicability of this probabilistic approach to guide the design of polycrystalline MPEAs with superior mechanical properties.
||Planned: Metallurgical and Materials Transactions