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Combining the finite element method and response surface methodology for optimization of shot peening parameters

机译:结合有限元法和响应面法优化喷丸参数

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In this study, a finite element shot peening model was employed in order to obtain the values of maximum compressive residual stress (sigma(RS)(max)), the depth of compressive residual stress field (delta(0)) and the stress concentration factor (K) in specimens treated by shot peeing process. Based on the finite element simulation results, Response Surface Methodology was conducted to optimize the response variables of sigma(RS)(max), delta(0) and K. The effects of three shot peening parameters (shot velocity, shot diameter and coverage ratio) on the values of sigma(RS)(max), delta(0) and K were investigated. The influence of the values of sigma(RS)(max), delta(0) and K on the fatigue property was discussed via giving different weights to these response variables in the optimization approach. The results showed that the proposed shot peening finite element model could give a reasonable prediction of compressive residual stress field and dimple size. Meanwhile, response surface methodology could be used to optimize these response variables (sigma(RS)(max), delta(0) and K) well. The priority should be given to the values of sigma(RS)(max), delta(0), and K in sequence when shot peening parameter optimization was conducted within a reasonable shot peening parameters range without microcrack appearing on treated surface. The optimal shot peening parameters were the shot velocity of 88 m/s, the shot diameter of 0.8 mm, and the coverage ratio of 170% for 42CrMo specimens. The fatigue life of 42CrMo specimens treated by shot peening with optimal parameters was improved by 104% in experiments.
机译:在这项研究中,使用有限元喷丸处理模型来获得最大压缩残余应力(sigma(RS)(max)),压缩残余应力场的深度(delta(0))和应力集中的值喷丸处理后的样品中的系数(K)。基于有限元模拟结果,采用响应面方法优化了响应变量sigma(RS)(max),delta(0)和K。三个喷丸强化参数(喷丸速度,喷丸直径和覆盖率)的影响)在sigma(RS)(max)的值上,研究了delta(0)和K。通过在优化方法中为这些响应变量赋予不同的权重,讨论了sigma(RS)(max),delta(0)和K值对疲劳特性的影响。结果表明,所提出的喷丸有限元模型可以合理预测残余压应力场和凹坑尺寸。同时,响应面方法可用于优化这些响应变量(sigma(RS)(max),delta(0)和K)。当在合理的喷丸处理参数范围内进行喷丸处理参数优化而处理表面没有出现微裂纹时,应优先考虑sigma(RS)(max),delta(0)和K的值。最佳的喷丸处理参数为42CrMo试样的喷丸速度为88 m / s,喷丸直径为0.8 mm,覆盖率为170%。实验中,采用最佳参数进行喷丸处理后的42CrMo试样的疲劳寿命提高了104%。

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