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<p>Enhancing the durability and surface characteristics of metallic parts, shot peening has become a critical process in industries such as aerospace, automotive, and rail transport. This research focuses on AISI 304 stainless steel, combining laboratory experiments with computational modeling to assess and optimize its mechanical response under real-world operating conditions. X-ray diffraction analysis was employed to measure the induced residual compressive stresses using the sin<sup>2</sup>ψ method. The microstructural evolution was characterized by analyzing diffraction peak broadening and microscopic observations. The numerical simulations, based on the Chaboche constitutive model, enabled a detailed parametric study of the influence of velocity, friction, impact angle, and shot rigidity on the stress field and plastic deformation profiles. The results confirm the formation of significant compressive residual stresses beneath the surface, an increase in surface hardness, and the presence of nanostructures due to dislocation density rather than phase transformation. The proposed finite element model showed excellent agreement with experimental data and proves to be a robust predictive tool for optimizing shot peening parameters. This work offers a validated simulation framework for industrial applications in fatigue-prone components and demonstrates the process’s effectiveness in tailoring mechanical behavior.</p>

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Experimental Characterization and Numerical Simulation of Compressive Residual Stresses from Shot Peening in Industrial Contexts

  • 期刊论文

  • 发表日期：

    2025年9月18日

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  • Abdelkader Slimane,
  • Kaddour Bahram,
  • Mohammed Chaib,
  • Sidahmed Dahmane,
  • Sidahmed Slimane,
  • Djafar Ait Kaci,
  • Abdelkader Ziadi,
  • Benattou Bouchouicha

摘要

Enhancing the durability and surface characteristics of metallic parts, shot peening has become a critical process in industries such as aerospace, automotive, and rail transport. This research focuses on AISI 304 stainless steel, combining laboratory experiments with computational modeling to assess and optimize its mechanical response under real-world operating conditions. X-ray diffraction analysis was employed to measure the induced residual compressive stresses using the sin2ψ method. The microstructural evolution was characterized by analyzing diffraction peak broadening and microscopic observations. The numerical simulations, based on the Chaboche constitutive model, enabled a detailed parametric study of the influence of velocity, friction, impact angle, and shot rigidity on the stress field and plastic deformation profiles. The results confirm the formation of significant compressive residual stresses beneath the surface, an increase in surface hardness, and the presence of nanostructures due to dislocation density rather than phase transformation. The proposed finite element model showed excellent agreement with experimental data and proves to be a robust predictive tool for optimizing shot peening parameters. This work offers a validated simulation framework for industrial applications in fatigue-prone components and demonstrates the process’s effectiveness in tailoring mechanical behavior.