| Abstract Scope |
Titanium alloys find diverse aerospace applications. Data are available in the open literature on many Ti alloys for landing gears that require high strength, high toughness, fatigue resistance, and corrosion resistance. We analyzed the available relevant data on these titanium alloys. Advanced statistical analysis, namely, cluster analysis (CA), principal component analysis (PCA), and multiple-attribute decision making (MADM), were applied to hear the voice of the data. PCA and CA not only consolidated the MADM ranks of the alloys but also grouped similar alloys. The rank assigned by several MADMs, including SAW (selective additive weighting), MEW (multiplicative exponent weighing), and OCRA (operative competitiveness ratio) were consistent. The investigation highlights similarities (and differences) across several grades/variants of the alloys, suggests potential replacement or substitute for the existing alloys, and also provides possible directions for improvement and/or development of these alloys to ensure robustness and reliability. |