基于多尺度模拟的选区激光熔化金属件疲劳性能预测

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中图分类号：TH162；TH114DOI：10.3969/j.issn.1004-132X.2025.09.021

PredictionofFatiguePropertyof SLMMetal PartsBasedon Multi-scaleSimulations

ZHOU Jinyul* CHEN Yifei2.3

1.School of Mechanical and Electrical Engineering，Jinling Institute of Technology，Nanjing， 2.School of Mechanical Engineering，Jiangsu University of Technology，Changzhou， Jiangsu， 3.Jiangsu Shagang Group Co.，Ltd.，Suzhou，Jiangsu，

Abstract： A multi-scale ternary numerical model of“process-microstructure-properties” was pro posed to investigate the relationships of the processing parameters of metal SLM，the microstructure of the formed parts and the fatigue properties. In detail，to analyze the evolution processes of temperature field， velocity field，and pore defects under diferent processing parameters，the meso dynamics process of the molten pool was studied with consideration of multiple physical field coupling phenomena such as recoil force.Using the temperature field data，the microstructure distribution of the representative volume element（RVE） was obtained based on cellular automaton model，and the efects of processing parameters on grain sizes and defect characteristics were investigated. Finally，the hazard levels of defects were evaluated under different processing parameters by stress intensity factors，and the macro fatigue strength of corresponding RVE was predicted. The results show that the proposed multi-scale model may efectively predict the fatigue properties of SLM metal parts under diffrent processing parameters. This work provides a reference for optimizing SLM processing parameters.

Key words：selective laser melting（SLM）；pore defect；molten pool dynamics；celular automata; fatigue property

0 引言

增材制造作为在数字技术驱动下回归自然界“生长造物”的新方法，可利用充分的时空窗口对结构的物性进行细粒度主动控制，它输出的三维实体既承载了高密度几何形状信息，又附加了高分辨率的材质物性信息，便于构件跨尺度参数变量的协同优化，从而充分发挥最大效能[1-2]。（剩余16665字）