Numerical transient thermal analysis of 316 L stainless steel/C18400 copper alloy powder layers deployed with multi-track and bi-directional laser based powder bed fusion

The most significant challenge in printing one object comprised of two dissimilar powder materials is to form a strong bond at the interface associated with high quality of surface finish using Laser based Powder Bed Fusion (L-PBF). Therefore, it is mostly important to study the most important parameters controlling the L-PBF process including the laser power, laser beam radius and laser scanning speed. In this paper, non-linear thermal transient finite element models have been developed in ANSYS codes by deploying subroutines coded in ANSYS parametric design language (APDL). This simulates a moving micro-laser beam with a Gaussian distribution over four metallic powder layers built on one powder bed, two layers made of 316 L stainless steel followed by two layers made of C18400 copper alloys. The micro-laser beam scans multi-layer, bi-directional multi-track and multi-materials to enhance the in-depth understanding of this L-PBF process to find significant parameters. It is found that the absorptivity of the powder material plays a key role in the total heat intensity. This in turn requires resetting the L-PBF parameters with depositing a layer of another material. The findings highlight that changing the laser power is much more efficient than other parameters to fuse the interface between the 316 L stainless steel layer and the C18400 copper layer.

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Publication Details

Journal
Materials Today Communications
Published
2025-11-27
DOI
https://doi.org/10.1016/j.mtcomm.2025.114405
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
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article

Numerical transient thermal analysis of 316 L stainless steel/C18400 copper alloy powder layers deployed with multi-track and bi-directional laser based powder bed fusion

Tony Murmu, Adel A. Abdelwahab, Balaji Aresh, Anthony J. Leslie et al.
Materials Today Communications
Additive Manufacturing Materials and Processes
article

Numerical transient thermal analysis of 316 L stainless steel/C18400 copper alloy powder layers deployed with multi-track and bi-directional laser based powder bed fusion

Tony Murmu, Adel A. Abdelwahab, Balaji Aresh, Anthony J. Leslie, Obeid Obeid, Hui Liu
article en

Abstract

The most significant challenge in printing one object comprised of two dissimilar powder materials is to form a strong bond at the interface associated with high quality of surface finish using Laser based Powder Bed Fusion (L-PBF). Therefore, it is mostly important to study the most important parameters controlling the L-PBF process including the laser power, laser beam radius and laser scanning speed. In this paper, non-linear thermal transient finite element models have been developed in ANSYS codes by deploying subroutines coded in ANSYS parametric design language (APDL). This simulates a moving micro-laser beam with a Gaussian distribution over four metallic powder layers built on one powder bed, two layers made of 316 L stainless steel followed by two layers made of C18400 copper alloys. The micro-laser beam scans multi-layer, bi-directional multi-track and multi-materials to enhance the in-depth understanding of this L-PBF process to find significant parameters. It is found that the absorptivity of the powder material plays a key role in the total heat intensity. This in turn requires resetting the L-PBF parameters with depositing a layer of another material. The findings highlight that changing the laser power is much more efficient than other parameters to fuse the interface between the 316 L stainless steel layer and the C18400 copper layer.

Materials Today CommunicationsVol. 50
Openalex Percentile: Top 62%
Additive Manufacturing Materials and Processes
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Numerical transient thermal analysis of 316 L stainless steel/C18400 copper alloy powder layers deployed with multi-track and bi-directional laser based powder bed fusion — Tony Murmu, Adel A. Abdelwahab, et al. · Materials Today Communications (2025) | TGRS Research Map | TGRS