基于磁脉冲焊接中高速碰撞形成的界面形态确定可焊性窗口

IF 3.1 3区材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY

Science and Technology of Welding and Joining Pub Date : 2022-11-29 DOI:10.1080/13621718.2022.2151733

Jishuai Li, R. N. Raoelison, T. Sapanathan, M. Rachik

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引用次数: 1

摘要

本文旨在通过对高速碰撞时Al/Cu界面材料响应的计算和实验分析，确定磁脉冲焊接的可焊性窗口。结果表明，铝侧和铜侧在热不稳定性和运动不稳定性方面的差异导致了界面形态(直线型、各种类型的波、涡旋、空腔)的形成。基于冲击速度与冲击角度对直线和波浪形貌的百分比进行分析，可以预测具有凸形倾向的潜在“L”型可焊性窗口。因此，所提出的欧拉模型具有足够的鲁棒性，可以准确地预测界面形态，并可作为非破坏性地描述冲击焊接可焊性窗口的工具。

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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Determining the weldability window based on the interface morphologies formed during high-speed collision in magnetic pulse welding

This paper aims to determine the weldability window in magnetic pulse welding, via computational and experimental analysis of the Al/Cu interface material response during the high-speed collision. The results reveal that the interface morphologies (straight, various type waves, vortices, cavities) arise from the differences in thermal and kinematic instabilities in between the aluminium side and copper side. The analysis of the percentage of straight and wavy morphologies based on the impact velocity versus impact angle allows to predict the weldability window which is potentially ‘L’ shaped with a convex shape tendency. Therefore, the proposed Eulerian model is robust enough to accurately predict the interface morphologies, and be used as tool to non-destructively depict the weldability window for an impact welding.

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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.