An integrated methodology for estimating the interface temperature and effects of powder diameters in laser transmission welding process

IF 2.9 3区材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY

Science and Technology of Welding and Joining Pub Date : 2023-03-15 DOI:10.1080/13621718.2023.2187543

X. Yu, Haiyu Qiao, Yani Chen, Qian Li, Zhenyu Chen, Yayun Liu, Chuanyang Wang

引用次数: 0

Abstract

The powder diameter affects the heat generation and further influences the quality of weldments when the MZA powder is used as laser-absorbents to carry out laser transmission welding (LTW). It is difficult to measure the temperature due to its extremely short duration. A mathematical model considering the multiple reflections of metal powder is established to predict heat generation. The mathematical model is verified and then used to describe the influence of line energy density and powder diameter on the temperature profile of the LTW process. The results demonstrate that the temperature from experiments and simulation are consistent. Therefore, the established model is suitable to predict the heat generation of metal powder laser-absorbents in the LTW process.

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激光传输焊接过程中界面温度及粉末直径影响的综合估算方法

采用MZA粉末作为激光吸收剂进行激光透射焊接时，粉末直径影响热的产生，进而影响焊接件的质量。由于持续时间极短，所以很难测量温度。建立了考虑金属粉末多重反射的热预测数学模型。对数学模型进行了验证，并用于描述线能密度和粉末直径对LTW工艺温度分布的影响。结果表明，实验温度与模拟温度基本一致。因此，所建立的模型适用于预测金属粉末激光吸收剂在LTW过程中的产热。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Science and Technology of Welding and Joining 工程技术-材料科学：综合

CiteScore

6.10

自引率

12.10%

发文量

审稿时长

1.7 months

期刊介绍： Science and Technology of Welding and Joining is an international peer-reviewed journal covering both the basic science and applied technology of welding and joining. Its comprehensive scope encompasses all welding and joining techniques (brazing, soldering, mechanical joining, etc.) and aspects such as characterisation of heat sources, mathematical modelling of transport phenomena, weld pool solidification, phase transformations in weldments, microstructure-property relationships, welding processes, weld sensing, control and automation, neural network applications, and joining of advanced materials, including plastics and composites.