Abstract Surface mechanical attrition treatment (SMAT) is a specialized cold working method that is used to induce compressive residual stresses and to refine crystalline grains at the surface of metal components. This technique is increasingly employed in different industries, and the control and optimization of the method require a fundamental understanding and an accurate process modelling. In this study, a numerical modelling approach capable of accurately predicting the residual stress and plastic deformation during SMAT was developed by combining discrete element method (DEM) and finite element method (FEM). In the proposed framework, the spatial and statistic distributions of impact positions, angles and velocities from DEM simulations are utilized in the FEM simulations. The effects of treatment duration, shot number, shot size and impact angle distribution on residual stresses, plastic deformation and roughness of the treated component are investigated. The numerical results are compared with available experimental data with good agreements. The proposed numerical method demonstrates capabilities to establish the linkages between processing parameters and material properties during SMAT treatment.

中文翻译：

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预测经受 SMAT 的 316L 不锈钢的机械性能：顺序 DEM-FEM 研究

摘要 表面机械磨损处理（SMAT）是一种专门的冷加工方法，用于在金属部件表面产生压缩残余应力并细化晶粒。这种技术越来越多地应用于不同行业，该方法的控制和优化需要基本的理解和准确的过程建模。在这项研究中，结合离散元法 (DEM) 和有限元法 (FEM)，开发了一种能够准确预测 SMAT 过程中残余应力和塑性变形的数值建模方法。在所提出的框架中，有限元模拟中利用了来自 DEM 模拟的冲击位置、角度和速度的空间和统计分布。治疗持续时间、注射次数、研究了丸粒大小和冲击角分布对处理后部件的残余应力、塑性变形和粗糙度的影响。数值结果与现有的实验数据进行了比较，具有良好的一致性。所提出的数值方法展示了在 SMAT 处理过程中建立加工参数和材料特性之间联系的能力。