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基于多尺度模拟的选区激光熔化金属件疲劳性能预测

周金宇 陈逸飞

中国机械工程2025,Vol.36Issue(9):2087-2096,10.
中国机械工程2025,Vol.36Issue(9):2087-2096,10.DOI:10.3969/j.issn.1004-132X.2025.09.021

基于多尺度模拟的选区激光熔化金属件疲劳性能预测

Prediction of Fatigue Property of SLM Metal Parts Based on Multi-scale Simulations

周金宇 1陈逸飞2

作者信息

  • 1. 金陵科技学院机电工程学院,南京,211199
  • 2. 江苏理工学院机械工程学院,常州,213000||江苏沙钢集团有限公司,苏州,215625
  • 折叠

摘要

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 different 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 ele-ment(RVE)was obtained based on cellular automaton model,and the effects 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 corre-sponding RVE was predicted.The results show that the proposed multi-scale model may effectively pre-dict the fatigue properties of SLM metal parts under different processing parameters.This work provides a reference for optimizing SLM processing parameters.

关键词

选区激光熔化/气孔缺陷/熔池动力学/元胞自动机/疲劳性能

Key words

selective laser melting(SLM)/pore defect/molten pool dynamics/cellular automata/fatigue property

分类

机械制造

引用本文复制引用

周金宇,陈逸飞..基于多尺度模拟的选区激光熔化金属件疲劳性能预测[J].中国机械工程,2025,36(9):2087-2096,10.

基金项目

国家自然科学基金(52075232) (52075232)

江苏省自然科学基金(BK20201112) (BK20201112)

中国机械工程

OA北大核心

1004-132X

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