Eliminating root defect in Al/Ti dissimilar friction stir welded via the double-side process

IF 3.7 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Science and Technology of Welding and Joining Pub Date : 2023-07-10 DOI:10.1080/13621718.2023.2232605
Xiankun Zhang, Xue Wang, Yang Li, Lei Shi, Chuansong Wu
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Abstract

The root defect is easy to occur in the conventional friction stir welded (C-FSW) Ti/Al dissimilar joints because of the thermophysical properties of titanium alloy. Double-side friction stir welding (DS-FSW) may be a solution to eliminate root defects. This work performed microstructure analyses of the Al/Ti interface for both C-FSW and DS-FSW joints and comprehensively investigated the effects of root defects. The results show that the mechanical properties of the Al/Ti C-FSW joints are severely weakened by root defects. Tensile strength of the DS-FSW joints was 310.8 MPa, which is 73 MPa high than the C-FSW joints. The DS-FSW process can effectively remove the root defects which offers a novel approach to achieve high-quality joining of Al/Ti dissimilar structures.
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双面工艺消除Al/Ti异种搅拌摩擦焊的根部缺陷
由于钛合金本身的热物理性质,传统的搅拌摩擦焊接(C-FSW) Ti/Al异种接头容易产生根部缺陷。双面搅拌摩擦焊(DS-FSW)可能是消除根部缺陷的一种解决方案。本工作对C-FSW和DS-FSW接头的Al/Ti界面进行了微观结构分析,并全面研究了根部缺陷的影响。结果表明,根部缺陷严重削弱了Al/Ti C-FSW接头的力学性能。DS-FSW接头的抗拉强度为310.8 MPa,比C-FSW接头高73 MPa。DS-FSW工艺可以有效地去除根部缺陷,为实现Al/Ti异种结构的高质量连接提供了新的途径。
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来源期刊
Science and Technology of Welding and Joining
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
79
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.
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