| Abstract Scope |
Lightweight magnetic high entropy alloys (LMHEAs) are promising alternatives to conventional soft magnetic materials, particularly for applications in auxiliary power units (APUs) in aerospace. We applied Q-analysis to LMHEAs synthesized and processed by myriad equilibrium and far-from-equilibrium techniques available in the literature. Q-analysis, a popular approach for investigating structural characteristics of social systems, provides an algebraic topological framework for data reduction that facilitates a macroscopic conceptualization of the system utilizing well-defined indices, viz., connectivity level, eccentricity, and complexity. The results are compared and validated with a few decision-science-driven multiple attribute decision-making (MADM) methods, including combined compromise solution (CoCoSo), operational competitive ratio (OCRA), and multi-attribute border approximation area (MABAC). Principal Component Analysis (PCA) and Hierarchical Clustering (HC) consolidated and grouped the LMHEAs. The investigation highlights similarities among the LMHEAs, suggests potential replacements or substitutes for the current conventional soft magnetic materials, and provides guidelines for designing novel LMHEAs. |