(V) Selection of Ti-containing high entropy alloys and future directions

Titanium-containing high entropy alloys are being 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 high entropy alloys for applications in aeroengines to unearth the composition-processing-microstructure-property relationships by materials informatics. We applied fundamental statistical analysis, advanced statistical analysis (e.g., principal component analysis and hierarchical clustering), and multiple attribute decision making to hear the voice of the data. The ranks assigned by several multiple attribute decision making methods, including but not limited to additive ratio assessment (ARAS), multiplicative exponent weighing (MEW), range of value method (ROVM), and weighted Euclidean distance (WEBDA), technique for order of preference by smiliarity to ideal solution (TOPSIS), were consistent. The fundamental and advanced statistical analysis not only consolidated the ranks of the alloys from various multiple attribute decision making methods, but also identified similarities and differences among the top-ranked alloys. The high entropy alloy data is pitched against the requirements for different legacy alloys that are currently used in the aeroengines. The investigations reveal the potential of the high-entropy alloys to substitute parts in the compressor and turbine stages of aeroengines. The potential replacement substitutes could be investigated for various parameters, and then further development would be possible by the suggested directives that resulted from this investigation.