Multi-physics modeling of laser melted magnesium alloy: Bridging melt pool dynamics to microstructure evolution

• A multi-physics framework integrating of DEM, FVM-VOF, and PFM is establish to resolve multi-scale LPBF-processed Mg alloy. • Semi-elliptical molten pool exhibits intense Marangoni convection at the front, transitioning subdued flow in rear regions. • Columnar dendrites progress through linear growth, instability, competitive growth, and stabilization, governed by G and R . • Elevated P , combined with low V , promotes coarsen dendrites and homogenizes solutes. Laser powder bed fusion (LPBF) has revolutionized modern manufacturing by enabling high design freedom, rapid prototyping, and tailored mechanical properties. However, optimizing process parameters remains challenging due to the trial-and-error approaches required to capture subtle parameter-microstructure relationships. This study employed a multi-physics computational framework to investigate the melting and solidification dynamics of magnesium alloy. By integrating the discrete element method for powder bed generation, finite volume method with volume of fluid for melt pool behavior, and phase-field method for microstructural evolution, the critical physical phenomena, including powder melting, molten pool flow, and directional solidification were simulated. The effects of laser power and scanning speed on temperature distribution, melt pool geometry, and dendritic morphology were systematically analyzed. It was revealed that increasing laser power expanded melt pool dimensions and promoted columnar dendritic growth, while high scanning speeds reduced melt pool stability and refined dendritic structures. Furthermore, Marangoni convection and thermal gradients governed solute redistribution, with excessive energy input risking defects such as porosity and elemental evaporation. These insights establish quantitative correlations between process parameters, thermal history, and microstructural characteristics, providing a validated roadmap for LPBF-processed magnesium alloy with tailored performance.

Authors

Institutions

Publication Details

Journal
Journal of Magnesium and Alloys
Published
2025-08-08
DOI
https://doi.org/10.1016/j.jma.2025.06.032
Citations
1
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-physics modeling of laser melted magnesium alloy: Bridging melt pool dynamics to microstructure evolution

Dongsheng Wang, Jinling Liu, Renkai Huang, Joseph Buhagiar et al.
1 citations
Journal of Magnesium and Alloys
Additive Manufacturing Materials and Processes
0.71
article

Multi-physics modeling of laser melted magnesium alloy: Bridging melt pool dynamics to microstructure evolution

Dongsheng Wang, Jinling Liu, Renkai Huang, Joseph Buhagiar, Chunrong Pan, Youwen Yang, Xuehua Wu, Fang Deng, Cijun Shuai, Jing Bai
article en
1 citations

Abstract

• A multi-physics framework integrating of DEM, FVM-VOF, and PFM is establish to resolve multi-scale LPBF-processed Mg alloy. • Semi-elliptical molten pool exhibits intense Marangoni convection at the front, transitioning subdued flow in rear regions. • Columnar dendrites progress through linear growth, instability, competitive growth, and stabilization, governed by G and R . • Elevated P , combined with low V , promotes coarsen dendrites and homogenizes solutes. Laser powder bed fusion (LPBF) has revolutionized modern manufacturing by enabling high design freedom, rapid prototyping, and tailored mechanical properties. However, optimizing process parameters remains challenging due to the trial-and-error approaches required to capture subtle parameter-microstructure relationships. This study employed a multi-physics computational framework to investigate the melting and solidification dynamics of magnesium alloy. By integrating the discrete element method for powder bed generation, finite volume method with volume of fluid for melt pool behavior, and phase-field method for microstructural evolution, the critical physical phenomena, including powder melting, molten pool flow, and directional solidification were simulated. The effects of laser power and scanning speed on temperature distribution, melt pool geometry, and dendritic morphology were systematically analyzed. It was revealed that increasing laser power expanded melt pool dimensions and promoted columnar dendritic growth, while high scanning speeds reduced melt pool stability and refined dendritic structures. Furthermore, Marangoni convection and thermal gradients governed solute redistribution, with excessive energy input risking defects such as porosity and elemental evaporation. These insights establish quantitative correlations between process parameters, thermal history, and microstructural characteristics, providing a validated roadmap for LPBF-processed magnesium alloy with tailored performance.

Journal of Magnesium and AlloysVol. 13(12)
University of Malta (MT), Tongling University (CN), Jiangxi University of Science and Technology (CN), Southeast University (CN)
National Natural Science Foundation of China, Anhui University, Ministry of Science and Technology of the People's Republic of China, Natural Science Foundation of Anhui Province
Openalex Percentile: Top 29%
Additive Manufacturing Materials and Processes
0.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.