|About this Abstract
||2022 TMS Annual Meeting & Exhibition
||Advances in Multi-Principal Elements Alloys X
||Combination of high throughput experiments and ICME approaches to discover the composition space for lightweight high entropy alloys
||Shengyen Li, John H Macha, Mirella Vargas, Michael A Miller
|On-Site Speaker (Planned)
This presentation will discuss the feasibility of integrating high throughput experiments (HTE) with computational approaches to discover the composition space for lightweight high entropy alloys (LHEAs). The objectives are to reduce density by 25% while the mechanical properties comparable to Ni-based superalloys at 1100 oC for high temperature applications. A combinatorial first principles approach initially screens out the design space by predicting the phase stability and intrinsic properties of multi-principal element alloys. To explore the potential space cost effectively, physical vapor deposition is used to synthesize compositional libraries, which are then characterized to assess microstructure features. A nanoindentation technique provides hardness and fracture toughness that, when combined with EDS mapping, informs alloy-structure-properties relationship. The results validate a mesoscale computational workflow, which uses CALPHAD-based models to predict the microstructure features for mechanistic models to estimate targeted properties, e.g. yield strength. The outcomes guide the iterative experiments to achieve the design goal.
||High-Entropy Alloys, ICME, High-Temperature Materials