AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (21.2 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Review | Open Access

Processing maps for magnesium alloys: From thermodynamic response to mechanistic interpretation

Department of Materials Science and Engineering, Hongik University, 94 Wausan-ro, Mapo-gu, Seoul 04066 Republic of Korea

Peer review under the responsibility of Chongqing University.

Show Author Information

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.

References

【1】
【1】
 
 
Journal of Magnesium and Alloys

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Kim WJ, Jeong H-T. Processing maps for magnesium alloys: From thermodynamic response to mechanistic interpretation. Journal of Magnesium and Alloys, 2026, 18(C). https://doi.org/10.1016/j.jma.2026.102036

19

Views

3

Downloads

1

Crossref

1

Web of Science

1

Scopus

0

CSCD

Received: 13 December 2025
Revised: 11 January 2026
Accepted: 21 January 2026
Published: 01 April 2026
© 2026 Chongqing University.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)