Numerical Simulation and Analysis of Rough Surface Evolution of Laser Remelted 316L Stainless Steel

As a post-processing process of additive manufacturing, laser remelting can greatly improve the quality of laser selective melting formed parts. It is of great significance to study the influence mechanism of laser remelting process for the development of laser selective melting technology. Due to the rapid and microscopic evolution of rough surfaces during laser remelting, it is extremely challenging to analyze them using experimental methods. In this paper, based on the level set method, a multi-physics coupled finite element model is established to simulate and analyze the evolution process of rough surface during laser remelting. The model comprehensively considers the influence of energy density, Marangone effect and fluid mass transfer on surface morphology evolution. Through numerical simulation, it is found that in the process of laser remelting 316L stainless steel, the Marangoni effect plays an important role in the shape evolution of rough surface. Due to the fluid flow under the Marangoni effect, the uneven surface becomes smooth, and the surface roughness is improved. The effectiveness of the simulation is verified by experiments. The experimental results show that the surface roughness after laser remelting is reduced to different degrees, and the Ra and Sa values of the surface roughness are reduced by 54.4% and 68.3%, respectively, which is consistent with the trend of the simulation results. In addition, the changes of the roughness under different laser remelting power and scanning speed were analyzed by numerical simulation.

Authors

Institutions

Publication Details

Journal
3D Printing and Additive Manufacturing
Published
2025-05-23
DOI
https://doi.org/10.1089/3dp.2025.0035
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical Simulation and Analysis of Rough Surface Evolution of Laser Remelted 316L Stainless Steel

Fei Wang, Zhiwen Li, Yonghong Zhu, Yanping Miao et al.
3D Printing and Additive Manufacturing
Additive Manufacturing Materials and Processes
article

Numerical Simulation and Analysis of Rough Surface Evolution of Laser Remelted 316L Stainless Steel

Fei Wang, Zhiwen Li, Yonghong Zhu, Yanping Miao, Jieyong Deng
article en

Abstract

As a post-processing process of additive manufacturing, laser remelting can greatly improve the quality of laser selective melting formed parts. It is of great significance to study the influence mechanism of laser remelting process for the development of laser selective melting technology. Due to the rapid and microscopic evolution of rough surfaces during laser remelting, it is extremely challenging to analyze them using experimental methods. In this paper, based on the level set method, a multi-physics coupled finite element model is established to simulate and analyze the evolution process of rough surface during laser remelting. The model comprehensively considers the influence of energy density, Marangone effect and fluid mass transfer on surface morphology evolution. Through numerical simulation, it is found that in the process of laser remelting 316L stainless steel, the Marangoni effect plays an important role in the shape evolution of rough surface. Due to the fluid flow under the Marangoni effect, the uneven surface becomes smooth, and the surface roughness is improved. The effectiveness of the simulation is verified by experiments. The experimental results show that the surface roughness after laser remelting is reduced to different degrees, and the Ra and Sa values of the surface roughness are reduced by 54.4% and 68.3%, respectively, which is consistent with the trend of the simulation results. In addition, the changes of the roughness under different laser remelting power and scanning speed were analyzed by numerical simulation.

3D Printing and Additive Manufacturing
Jingdezhen Ceramic Institute (CN), Jiangxi University of Water Resources and Electric Power (CN), Nanchang University (CN), Jiangxi College of Applied Technology (CN)
Openalex Percentile: Top 89%
Additive Manufacturing Materials and Processes
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.