| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Recent Investigations and Developments of Titanium-containing High Entropy Alloys
|
| Presentation Title |
A Data-driven Analysis for Selection of Ti-containing High Entropy Alloys and Future Directions |
| Author(s) |
Ramachandra Canumalla, Tanjore V. Jayaraman |
| On-Site Speaker (Planned) |
Ramachandra Canumalla |
| Abstract Scope |
Titanium-containing high entropy alloys (HEAs) have been investigated for a wide range of potential applications, including elevated temperature, biomedical, extreme environments, and so forth. We analyzed the available data in the literature for the titanium-containing HEAs against the conventional high-temperature materials (CHTMs) for applications in aeroengines to unearth the composition-processing-microstructure-property relationships by materials informatics. We applied fundamental statistical analysis (FSA), principal component analysis (PCA), and multiple-attribute decision making (MADM) to hear the voice of the data. The ranks assigned by several MADMs, including ARAS (additive ratio assessment), MEW (multiplicative exponent weighing) and ROVM (range of value method), were consistent. FSA and PCA consolidated the MADM ranks of the alloys and identified similar top-ranked alloys. The investigations highlight differences (and similarities) among the HEAs and CHTMs and suggest potential replacement substitutes, and provide possible directions for improvement and further development of titanium-containing HEAs. |
| Proceedings Inclusion? |
Planned: None Selected |
| Keywords |
High-Entropy Alloys, Computational Materials Science & Engineering, |