About this Abstract |
Meeting |
2024 TMS Annual Meeting & Exhibition
|
Symposium
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Advances in Multi-Principal Element Alloys III: Mechanical Behavior
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Presentation Title |
Predicting the Strength of Multi-principal Element Alloys: A Mechanistic Data-driven Approach |
Author(s) |
Huajian Gao, Ali Rida, Markus Sudmanns, Yanfei Wang, Zhuocheng Xie, Xiaolong Ma, Wenxin Zhou, Yejun Gu, Jaafar A. El-Awady |
On-Site Speaker (Planned) |
Jaafar A. El-Awady |
Abstract Scope |
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. |
Proceedings Inclusion? |
Planned: |
Keywords |
High-Entropy Alloys, ICME, Mechanical Properties |