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首页> 美国卫生研究院文献>Materials >A Comprehensive Numerical Approach for Analyzing the Residual Stresses in AISI 301LN Stainless Steel Induced by Shot Peening
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A Comprehensive Numerical Approach for Analyzing the Residual Stresses in AISI 301LN Stainless Steel Induced by Shot Peening

机译：分析喷丸引起的AISI 301LN不锈钢残余应力的综合数值方法

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摘要

Shot peening is one of the most famous mechanical surface treatments to improve fatigue performance of metallic components, which is attributed to high amplitude compressive residual stresses. A numerical approach is developed to analyze the residual stresses in 301LN metastable austenitic stainless steel by shot peening. The material behavior is described by a proposed constitutive model in which strain-induced martensitic transformation, isotropic hardening and kinematic hardening effects are taken into account properly. Both single shot and random multiple shots peening were simulated and analyzed. A numerical method is presented with the Python programming language to make the multiple shots follow a random probability distribution. Results demonstrate that the simulated equivalent plastic strains and martensitic volume fractions agree well with the experimental ones, which verify the validity of the constitutive model. Besides, the numerical method is effective at achieving a realistic surface coverage. The maximum compressive residual stress by the Johnson–Cook model is 12% higher than that of the proposed model. Additionally, each hardening effect has an effect on the simulated residual stress. The developed numerical approach can provide a feasible simulation of the shot-peening process and makes an accurate prediction of the residual stress field in 301LN steel.
机译：喷丸处理是改善金属部件疲劳性能的最著名的机械表面处理方法之一，这归因于高振幅压缩残余应力。开发了一种数值方法，通过喷丸分析来分析301LN亚稳态奥氏体不锈钢中的残余应力。材料行为由拟议的本构模型描述，其中适当考虑了应变诱发的马氏体转变，各向同性硬化和运动硬化效应。模拟和分析了单发和随机多发喷丸。 Python编程语言提供了一种数值方法，以使多次射击遵循随机概率分布。结果表明，模拟等效塑性应变和马氏体体积分数与实验值吻合良好，验证了本构模型的有效性。此外，数值方法对于实现真实的表面覆盖是有效的。 Johnson-Cook模型的最大压缩残余应力比拟议模型高12％。此外，每种硬化效果都会对模拟残余应力产生影响。所开发的数值方法可以为喷丸强化过程提供可行的模拟，并准确预测301LN钢的残余应力场。

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