| About this Abstract |
| Meeting |
MS&T22: Materials Science & Technology
|
| Symposium
|
Development in Light Weight Alloys and Composites
|
| Presentation Title |
A Data-driven Search and Analysis for Selection of Ti-containing High Entropy Alloys for Aeroengine Applications |
| Author(s) |
Tanjore V. Jayaraman, Ramachandra Canumalla |
| On-Site Speaker (Planned) |
Tanjore V. Jayaraman |
| Abstract Scope |
Growing interests in Ti-containing high entropy alloys (HEAs), owing to their unique combination of ambient and elevated temperature mechanical properties and corrosion resistance for a wide range of potential applications, motivated us to analyze the available data in the literature for the Ti-containing HEAs to unearth the composition-processing-microstructure-property relationships for aeroengine applications. We applied fundamental and advanced statistical analysis—including principal component analysis (PCA) and hierarchical clustering (HC)—and multiple-attribute decision making (MADM) synergistically to hear the voice of the data. The ranks assigned by several MADMs, including ROVM (range of value method), MEW (multiplicative exponent weighing), and ARAS (additive ratio assessment), were consistent. FASA consolidated the MADM ranks of the alloys, and HC identified similar top-ranked alloys. The investigation reveals the potential of the HEAs to substitute parts in aeroengines. The analysis suggests potential replacement substitutes and provides possible directions for the design and improvement of titanium-containing HEAs. |