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Finite Element Simulation of the Laser Shock Peening Process on 304L Stainless Steel
Mayur B Wakchaure1, Manoranjan Misra2, Pradeep L Menezes1
1Department of Mechanical Engineering, University of Nevada, Reno, NV 89557, USA.
Materials (Basel, Switzerland)
|July 12, 2025
Summary
Laser Shock Peening (LSP) optimizes residual stress and surface deformation by adjusting laser parameters. Finite Element Method (FEM) simulations reveal how overlap and power density influence these outcomes, validating experimental data.
Area of Science:
- Materials Science
- Mechanical Engineering
- Computational Modeling
Background:
- Laser Shock Peening (LSP) is a surface enhancement technique utilizing high-energy laser pulses.
- It induces compressive residual stress, crucial for improving material fatigue life and performance.
- Understanding the influence of LSP parameters is vital for effective application.
Purpose of the Study:
- To investigate the effects of Laser Shock Peening (LSP) parameters on residual stress and surface deformation.
- To analyze the impact of laser spot overlap rate and power density using a Finite Element Method (FEM) model.
- To provide insights for optimizing LSP techniques in materials like stainless steel.
Main Methods:
- Finite Element Method (FEM) simulations using ANSYS Explicit Dynamics.
- Implementation of a Johnson-Cook material model for nonlinear behavior.
- A Design of Experiment (DOE) approach to systematically vary laser spot overlap and power density.
Main Results:
- Increased laser spot overlap and power density result in higher compressive residual stress and surface deformation.
- Two distinct outcomes were observed: deep compressive stress with minimal deformation, or a transition to tensile stress followed by deformation.
- Simulation results showed strong agreement with existing experimental data.
Conclusions:
- The study successfully modeled the complex relationship between LSP parameters and material response.
- Novel simulation strategies, including a triangular pulse model and dual-overlap analysis, were developed.
- Findings offer valuable guidance for optimizing LSP processes in practical engineering applications.

