Abstract
There is rapidly growing interest in Ti-containing multi-principal element alloys (MPEA), due to their distinct combination of the room- and elevated-temperature mechanical properties and corrosion resistance for a wide range of potential applications. This has motivated us to analyze the literature data of the Ti-containing MPEAs to unearth the composition-processing-microstructure-property relationships for aeroengine applications. We synergistically applied advanced statistical analyses—including principal component analysis (PCA) and hierarchical clustering (HC)—and multiple-attribute decision making (MADM) to hear the voice of the data. The ranks assigned by several MADMs, including ARAS (additive ratio assessment), ROVM (range of value method), and MEW (multiplicative exponent weighing), were consistent. However, the ranks of the alloys varied upon varying the relative weights of various properties, which revealed several MPEAs’ potential to substitute superalloys for a range of aeroengine parts. The analyses suggest potential replacement substitutes and provide possible directions for the design and improvement of Ti-containing MPEAs.
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Acknowledgements
The corresponding author T. V. Jayaraman thanks the College of Engineering and Computer Science and the Institute of Advanced Vehicle Systems at the University of Michigan-Dearborn for the support. The other corresponding author Ramachandra Canumalla thanks the Weldaloy Specialty Forgings management for all the support.
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Jayaraman, T.V., Canumalla, R. (2023). Data-driven Search and Selection of Ti-containing Multi-principal Element Alloys for Aeroengine Parts. In: TMS 2023 152nd Annual Meeting & Exhibition Supplemental Proceedings. TMS 2023. The Minerals, Metals & Materials Series. Springer, Cham. https://doi.org/10.1007/978-3-031-22524-6_45
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DOI: https://doi.org/10.1007/978-3-031-22524-6_45
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