| Abstract Scope |
Conventional high-temperature titanium alloys (near-α alloys) find themselves in advanced aeroengines for applications due to their superior combination of ambient and elevated-temperature mechanical properties and oxidation resistance. The inherent mechanical properties are known to be sensitive to chemical composition, thermomechanical processing, and microstructural constituents. We adopted a data-driven approach to analyze a plethora of alloys, viz. IMI829, IMI 834, Ti-1100, etc. reported in the literature to date. We applied a novel methodology combining advanced statistical analysis: cluster analysis (CA) and principal component analysis (PCA), and multiple-attribute decision making (MADM) to unearth the voice of the data. The investigation compares several grades/variants of the alloys, suggests potential substitutes for the existing alloys, and provides directions for improvement and/or development of titanium alloys over the current ones for use at higher temperatures and thus help push out some of the heavier alloys and consequently help in reducing the weight of the engine. |