The material flow and texture-weakening mechanism in double-sided friction stir welded Mg alloy

IF 3.7 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Science and Technology of Welding and Joining Pub Date : 2022-11-04 DOI:10.1080/13621718.2022.2139451
Mengjuan Zhou, Yu-Feng Sun, Y. Morisada, Qingbing Shi, H. Fujii
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引用次数: 3

Abstract

In conventional friction stir welding of magnesium alloys, a strong (0001) texture at the welded zone is inevitable, which deteriorates the joint mechanical properties. A novel method called ‘double-sided friction stir welding’ solved this problem by weakening the texture. However, the texture-weakening mechanism remains unclear. In this study, the mechanism of the texture weakening in double-sided friction stir welded Mg alloy was systematically analysed. The welding temperature and the material flow mode were revealed to control the (0001) texture randomisation simultaneously. The unique material flow at the mid-thickness layer caused by the double-sided friction stir welding was revealed to match the ‘beat phenomenon’ for the first time, which was revealed as the dominant mechanism for the (0001) texture randomisation.
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镁合金双面搅拌摩擦焊材料流动及织构弱化机制
在镁合金的传统搅拌摩擦焊接中,焊接区不可避免地会出现强(0001)织构,这会降低接头的力学性能。一种名为“双面搅拌摩擦焊接”的新方法通过弱化纹理来解决这个问题。然而,纹理弱化机制尚不清楚。系统分析了镁合金搅拌摩擦双面焊组织弱化的机理。揭示了焊接温度和材料流动模式可以同时控制(0001)织构的随机性。由双面搅拌摩擦焊接引起的中厚层独特的材料流动首次被揭示为与“跳动现象”相匹配,这被揭示为(0001)织构随机化的主要机制。
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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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