INFLUENCE OF LASER SHOCK PEENING ON THE TRIBOLOGICAL BEHAVIOR OF ADDITIVELY MANUFACTURED SS316L

This work examines the impact of heat treatment and laser shock peening (LSP) on the wear behavior of selectively laser-melted SS316L parts. The investigation focuses on significant changes in residual stress, microhardness, surface roughness, 2D wear depth, nanoindentation, and wear behavior at room temperature. LSP is a surface modification technique used to increase high hardness and wear resistance (WR). LSP significantly enhanced the material performance, increasing microhardness by 15.5% in the as-printed (PS) sample and 21.4% in the heat-treated (HT) sample, and improving WR by 20.18% and 18.5%, respectively. X-ray diffraction (XRD) revealed only the [Formula: see text] austenite phase, indicating no new phase formation after LSP. The reduction in crystallite size in LSP samples is mainly due to increased microstrain and dislocation density caused by the high-energy impacts. LSP transformed the tensile residual stress into beneficial compressive residual stress. LSP improved tribological behavior, reducing the coefficient of friction (COF) by 51% and the specific wear rate (SWR) by 38% in the PS sample. HT samples showed a reduced COF of 9.35% and SWR of 12%, indicating enhanced surface durability and WR. These improvements enhance the material’s suitability for use in aerospace, automotive, biomedical, and marine applications.

Authors

Institutions

Publication Details

Journal
Surface Review and Letters
Published
2025-05-09
DOI
https://doi.org/10.1142/s0218625x2550180x
Citations
2
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

INFLUENCE OF LASER SHOCK PEENING ON THE TRIBOLOGICAL BEHAVIOR OF ADDITIVELY MANUFACTURED SS316L

S. Kumanan, M. Veluchamy
2 citations
Surface Review and Letters
Additive Manufacturing Materials and Processes
1.43
article

INFLUENCE OF LASER SHOCK PEENING ON THE TRIBOLOGICAL BEHAVIOR OF ADDITIVELY MANUFACTURED SS316L

S. Kumanan, M. Veluchamy
article en
2 citations

Abstract

This work examines the impact of heat treatment and laser shock peening (LSP) on the wear behavior of selectively laser-melted SS316L parts. The investigation focuses on significant changes in residual stress, microhardness, surface roughness, 2D wear depth, nanoindentation, and wear behavior at room temperature. LSP is a surface modification technique used to increase high hardness and wear resistance (WR). LSP significantly enhanced the material performance, increasing microhardness by 15.5% in the as-printed (PS) sample and 21.4% in the heat-treated (HT) sample, and improving WR by 20.18% and 18.5%, respectively. X-ray diffraction (XRD) revealed only the [Formula: see text] austenite phase, indicating no new phase formation after LSP. The reduction in crystallite size in LSP samples is mainly due to increased microstrain and dislocation density caused by the high-energy impacts. LSP transformed the tensile residual stress into beneficial compressive residual stress. LSP improved tribological behavior, reducing the coefficient of friction (COF) by 51% and the specific wear rate (SWR) by 38% in the PS sample. HT samples showed a reduced COF of 9.35% and SWR of 12%, indicating enhanced surface durability and WR. These improvements enhance the material’s suitability for use in aerospace, automotive, biomedical, and marine applications.

Surface Review and Letters
National Institute of Technology Tiruchirappalli (IN)
Openalex Percentile: Top 20%
Additive Manufacturing Materials and Processes
1.43
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.