@article{Kim2026, 
author = {Woo Jin Kim and Hee-Tae Jeong},
title = {Processing maps for magnesium alloys: From thermodynamic response to mechanistic interpretation},
year = {2026},
journal = {Journal of Magnesium and Alloys},
volume = {18},
number = {C},
keywords = {Creep mechanisms, Flow instability, Magnesium alloys, Dynamic recrystallization, Processing maps, Power-law breakdown},
url = {https://www.sciopen.com/article/10.1016/j.jma.2026.102036},
doi = {10.1016/j.jma.2026.102036},
abstract = {This review consolidates decades of research on hot-deformation processing maps into a single, mechanism-based framework that connects macroscopic stability criteria with high-temperature deformation physics. It traces the evolution of major formulations—including those by Prasad, Murty, and Kim–Jeong—back to their common thermokinetic foundation in creep and dynamic-recrystallization (DRX) kinetics. Through this unified treatment, the review clarifies that power-dissipation efficiency (η) and flow-instability indices are different projections of the same rate-dependent constitutive response, which also dictates transitions between power-law deformation mechanism regimes and the onset of power-law breakdown. The paper is organized to move from theory to application. Early sections reconstruct the mathematical origin and physical meaning of η and instability functions; middle sections benchmark these criteria across published Mg datasets; and later sections provide practical guidance for constructing reliable maps using physics-constrained regression and uncertainty reporting. The review further clarifies—by distinguishing necessity from sufficiency in the DRX–η relationship—why DRX annotations and high-η domains frequently coincide without implying causal equivalence. Collectively, these contributions transform processing maps from empirical contour charts into predictive diagnostic tools and offers a reproducible workflow and interpretive hierarchy adaptable to diverse alloy systems and data qualities.}
}