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The Numerical Optimization of Laser Shot Peening Parameters Based on Response Surface Analysis

机译:基于响应面分析的激光喷丸强化参数数值优化

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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.
机译:使用Box-Behnken实验设计模拟了激光喷丸(LSP)引起的残余应力场。引入压缩残余应力场强度(S)来估计压缩残余应力场对疲劳性能的影响。通过响应面分析(RSA)分析了激光加工参数(激光冲击波峰值压力,光斑直径和喷丸次数)对S的影响,建立了S的二次回归预测模型,并验证了其合理性。最后,优化了针对抗疲劳制造的激光工艺参数的最佳组合。结果表明统计分析结果与模拟结果吻合良好,RSA用于LSP参数优化是可行的。

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