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Simulation of shot peening: From process parameters to residual stress fields in a structure

机译:喷丸强化的仿真:从过程参数到结构中的残余应力场

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Manufacturing industries perform mechanical surface treatments like shot peening at the end of the manufacturing chain to protect important working parts. This treatment modifies the near surface of the treated part with the introduction of compressive residual stresses due to the repeated impacts of the shot. Then, the treated part exhibits, not only a longer life, but also a better fretting behavior, an improved resistance to corrosion ... The objective of the present paper is first to study the relation between the process parameters and the material state (residual stress and plastic variables ...) for a complex geometry. Next, a numerical tool is proposed, able to predict this material state in a time frame that is consistent with industrial constraints. The originality of the proposed approach thus consists in the chaining of the different steps. The first step is to choose the process parameters for the shot peening process considering conventional or ultrasonic shot peening and model the shot dynamics for a complex geometry. Once the impact velocity field is known, the objective is to compute the local incompatible plastic deformation field due to the repeated impacts using analytical methods. Then, a finite element model is used to compute the residual and deformation fields in the considered mechanical part. The complete method has been performed on the model of a gear, a mechanical part that is most often shot peened and exhibits a complex geometry. (C) 2016 Academie des sciences. Published by Elsevier Masson SAS.
机译:制造业在制造链的末端执行机械表面处理,例如喷丸处理,以保护重要的工作零件。由于喷丸的反复冲击,该处理通过引入压缩残余应力来改变被处理零件的近表面。然后,经过处理的零件不仅具有更长的寿命,而且具有更好的微动行为,提高了耐腐蚀性能。本文的目的是首先研究工艺参数与材料状态(残余)之间的关系。应力和塑性变量...)接下来,提出了一种数值工具,能够在与工业约束一致的时间范围内预测这种材料状态。因此,所提出方法的独创性在于不同步骤的链接。第一步是考虑常规或超声波喷丸处理,选择喷丸处理的工艺参数,并对复杂几何形状的喷丸动力学建模。一旦知道了冲击速度场,目的是使用分析方法计算由于反复冲击而产生的局部不相容塑性变形场。然后,使用有限元模型来计算所考虑的机械零件中的残余场和变形场。完整的方法已在齿轮模型上执行,齿轮是最常被喷丸处理并显示复杂几何形状的机械零件。 (C)2016科学院。由Elsevier Masson SAS发布。

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