Influence and Optimization of Process Parameters on Surface Roughness of Selective Laser Melting of 316L Stainless Steel

To achieve better surface quality in selective laser melting (SLM), this study used 316L stainless steel powder and conducted a systematic design experiment to investigate the influence mechanism of process parameters on the surface roughness of the top and vertical surfaces. Response surface methodology (RSM) was then used for parameter optimization. The results showed that scanning speed has the greatest impact on surface roughness, followed by laser power, while scanning spacing has the least impact. The lowest surface roughness was observed when the volumetric energy density was between 65 J/mm3 and 90 J/mm3. The optimal combination of process parameters was a scanning speed of 637 mm/s, a hatch spacing of 0.08 mm, and a laser power of 191 W. Under these conditions, the surface roughness of the top and vertical surfaces were 4.96 μm and 6.58 μm, respectively, validating the effectiveness of the model.

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Publication Details

Journal
Coatings
Published
2026-01-20
DOI
https://doi.org/10.3390/coatings16010134
Citations
1
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
19.05
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article

Influence and Optimization of Process Parameters on Surface Roughness of Selective Laser Melting of 316L Stainless Steel

Suppawat Chuvaree, Dong Pin, Kamonpong Jamkamon
1 citations
Coatings
Additive Manufacturing Materials and Processes
19.05
article

Influence and Optimization of Process Parameters on Surface Roughness of Selective Laser Melting of 316L Stainless Steel

Suppawat Chuvaree, Dong Pin, Kamonpong Jamkamon
article en
1 citations

Abstract

To achieve better surface quality in selective laser melting (SLM), this study used 316L stainless steel powder and conducted a systematic design experiment to investigate the influence mechanism of process parameters on the surface roughness of the top and vertical surfaces. Response surface methodology (RSM) was then used for parameter optimization. The results showed that scanning speed has the greatest impact on surface roughness, followed by laser power, while scanning spacing has the least impact. The lowest surface roughness was observed when the volumetric energy density was between 65 J/mm3 and 90 J/mm3. The optimal combination of process parameters was a scanning speed of 637 mm/s, a hatch spacing of 0.08 mm, and a laser power of 191 W. Under these conditions, the surface roughness of the top and vertical surfaces were 4.96 μm and 6.58 μm, respectively, validating the effectiveness of the model.

CoatingsVol. 16(1)
Rajamangala University of Technology Krungthep (TH)
Affordable and clean energy
Openalex Percentile: Top 2%
Additive Manufacturing Materials and Processes
19.05
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