Paper Title:
The Numerical Optimization of Laser Shot Peening Parameters Based on Response Surface Analysis
  Abstract

Residual stress field induced by laser shot peening (LSP) was simulated using Box-Behnken experimental design. Compressive residual stress field intensity (S) was introduced to estimate the effect of compressive residual stress field on fatigue performance. The effect of laser process parameters (such as laser shock wave peak pressure, spot diameter and peening number) on S was analyzed by response surface analysis (RSA), quadratic regression predicting model for S was established, and the rationality of that was verified. Finally, the optimal combination of laser process parameters oriented to anti-fatigue manufacture was optimized. The results indicated statistical analysis results agreed well with those of simulation, RSA for parameter optimization of LSP is feasible.

  Info
Periodical
Edited by
Long Chen, Yongkang Zhang, Aixing Feng, Zhenying Xu, Boquan Li and Han Shen
Pages
443-447
DOI
10.4028/www.scientific.net/KEM.464.443
Citation
S. Q. Jiang, J. H. Wu, H. G. Xu, J. Z. Zhou, "The Numerical Optimization of Laser Shot Peening Parameters Based on Response Surface Analysis", Key Engineering Materials, Vol. 464, pp. 443-447, 2011
Online since
January 2011
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