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Erschienen in: The International Journal of Advanced Manufacturing Technology 5-6/2024

27.12.2023 | ORIGINAL ARTICLE

Analytical prediction of shot peening residual stress distribution using inherent strain in aluminum–magnesium alloy plates under various peening conditions

verfasst von: Takahiro Ohta, Ninshu Ma

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 5-6/2024

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Abstract

The compressive residual stress distribution in shot peening can be simulated using the nonlinear elastic–plastic finite element method (FEM) or obtained using various measurement methods; however, a simple and efficient prediction is desirable for practical applications. The residual plastic strain component produced by shot peening, known as the inherent strain or Eigenstrain, has a simple distribution and can be used to predict the residual stress via linear elastic analysis. In this study, the residual stress distributions in aluminum–magnesium alloy plates due to various shot velocities and shot diameters were simulated using the nonlinear FEM; further, the residual stress distributions were verified using the X-ray diffraction method. The inherent strain was identified using these results as datasets, and the strain distribution was quantitatively expressed using a simple equation. Finally, an analytical method for shot peening residual stress prediction using inherent strain and plate bending theory was developed. The residual stress distributions predicted from the inherent strain determined for 5 -mm-thick plate were consistent with the experimentally measured and numerical simulated results for 2-, and 1 -mm-thick plates with different shot blasting machines and shot diameters.

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Literatur
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Metadaten
Titel
Analytical prediction of shot peening residual stress distribution using inherent strain in aluminum–magnesium alloy plates under various peening conditions
verfasst von
Takahiro Ohta
Ninshu Ma
Publikationsdatum
27.12.2023
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 5-6/2024
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-023-12850-8

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