Influence of assisted longitudinal magnetic field on the microstructure and mechanical properties of ER2319 aluminium alloy parts fabricated by wire and arc additive manufacturing

IF 2.9 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Xujing Zhang, Wenyong Zhao, J. Long, Yanhong Wei
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引用次数: 3

Abstract

The deposit morphology, microstructure, and mechanical properties of wire and arc additive manufacturing (WAAM) of ER2319 aluminium alloy with and without assisted longitudinal magnetic field (ALMF) were investigated comprehensively and comparatively in this study. The results showed that the ALMF improved the surface forming accuracy slightly, and effectively promoted the equiaxed transformation of grains. Simultaneously, the introduction of ALMF is beneficial to improving the morphology and distribution of the strengthening phase and reducing the tendency of intergranular corrosion caused by the segregation of Cu elements along the grain boundaries. Moreover, ALMF can remarkably reduce the generation rate of large pores, thereby effectively improving the tensile strength of the deposits and reducing the anisotropy of mechanical properties.
辅助纵向磁场对ER2319铝合金线弧增材零件组织和力学性能的影响
对有和无辅助纵向磁场(ALMF)作用下ER2319铝合金丝弧增材制造(WAAM)的沉积形貌、显微组织和力学性能进行了全面比较研究。结果表明:ALMF能略微提高表面成形精度,有效促进晶粒的等轴转变;同时,ALMF的引入有利于改善强化相的形貌和分布,降低Cu元素沿晶界偏析引起的晶间腐蚀倾向。ALMF可以显著降低大孔隙的生成速率,从而有效提高镀层的抗拉强度,降低力学性能的各向异性。
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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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