选区激光熔化激光能量在TC4粉末中分布特性研究

黄智; 贾卫博; 王颢铭; 李超; 梁杰; 钟岳

doi:10.7652/xjtuxb202204012

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选区激光熔化激光能量在TC4粉末中分布特性研究

更新时间：2025-07-09

- 选区激光熔化激光能量在TC4粉末中分布特性研究
- Study on Distribution Characteristics of Laser Energy in TC4 Powder in Selective Laser Melting Process
- 西安交通大学学报 2022年56卷第4期页码：109-118
- 作者机构：
  
  电子科技大学机械与电气工程学院,成都,611731
- 作者简介：
  
  : 2021-07-23。作者简介: 黄智(1977—),男,副教授,博士。基金项目: 四川省科技计划资助项目(2020YFG0416)
- 基金信息：
  
  : 2021-07-23。作者简介: 黄智(1977—),男,副教授,博士。基金项目: 四川省科技计划资助项目(2020YFG0416)
- DOI：10.7652/xjtuxb202204012
  中图分类号： TH164
- 网络首发：2022-04-10，
  
  纸质出版：2022
- 稿件说明：
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黄智, 贾卫博, 王颢铭, 等. 选区激光熔化激光能量在TC4粉末中分布特性研究[J]. 西安交通大学学报, 2022,56(4):109-118.

HUANG Zhi, JIA Weibo, WANG Haoming, et al. Study on Distribution Characteristics of Laser Energy in TC4 Powder in Selective Laser Melting Process[J]. 2022, 56(4): 109-118.
黄智, 贾卫博, 王颢铭, 等. 选区激光熔化激光能量在TC4粉末中分布特性研究[J]. 西安交通大学学报, 2022,56(4):109-118. DOI： 10.7652/xjtuxb202204012.

HUANG Zhi, JIA Weibo, WANG Haoming, et al. Study on Distribution Characteristics of Laser Energy in TC4 Powder in Selective Laser Melting Process[J]. 2022, 56(4): 109-118. DOI： 10.7652/xjtuxb202204012.

摘要

为了研究粉末分布对选区激光熔化过程中能量吸收的影响

提出具有更高精度的热源模型

通过最速下降和坐标轮换相结合的方法获取粉末颗粒的分布

依据射线追踪原理统计粉末床对激光能量的吸收情况

分析了粉末分布对激光能量吸收的影响

并按照能量分布特性

提出了考虑粉末影响的新热源模型。结果表明:通过最优化方法构建的粉末模型

避免了物理参数估计的误差

与实验结果仅有4%的误差; 能量吸收在深度方向有减弱的趋势

在水平方向近似满足正态分布

由此构建的热源模型应用于熔池预测

熔池宽度误差为6.4%

连接处宽度误差为9.6%。该文提出的基于粉末分布的热源模型更准确地描述了能量的分布

提高了温度场的仿真精度

可对后续更精确的温度场仿真技术研究提供一定的参考。

Abstract

To study the effect of powder distribution on the energy absorption in the selective laser melting process

a heat source model with higher accuracy is proposed. In this paper

the distribution of powder particles is obtained by combing the method of steepest descent and univariate search technique

while the absorption of laser energy by the powder bed is counted according to the ray-tracing principle. This paper analyzes the effect of powder distribution on laser energy absorption and proposes a new heat source model considering the effect of powder according to the energy distribution characteristics. The results show that:the powder model constructed by the optimization method can avoid the error estimated by physical parameter and has only 4% error with the experimental results; The energy absorption tends to weaken in the depth direction and approximately satisfies the normal distribution in the horizontal direction. The heat source model constructed therefore is applied to the melt pool prediction

with the melt pool width error of 6.4% and the joint width error of 9.6%. The heat source model based on powder distribution proposed in this paper describes the energy distribution more accurately and improves the simulation accuracy of the temperature field

which can provide a reference for the further research of more accurate temperature field simulation technology.

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references

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