磁场辅助线弧增材制造Al–Cu合金热处理后组织和力学性能的改善特性变化

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

Science and Technology of Welding and Joining Pub Date : 2023-07-18 DOI:10.1080/13621718.2023.2236358

Xujing Zhang, Wenyong Zhao, Yanhong Wei, J. Long, Longgen Qian

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引用次数: 0

摘要

在本研究中，将Al–Cu合金用于引入和不引入辅助纵向磁场（ALMF）的线弧增材制造实验，随后进行了热处理，旨在研究ALMF带来的改善特性对热处理后微观结构和力学性能的影响。结果表明，热处理后，ALMF改善的孔隙条件大大减弱，而柱状向等轴转变的促进作用和对沉淀的改善作用仍然存在。在力学性能方面，ALMF对显微硬度均匀分布的改善作用减弱。此外，ALMF在降低拉伸强度各向异性方面带来的优化大大削弱，伸长率的提高消失了。

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Variations of the improved characteristics on microstructure and mechanical properties of Al–Cu alloy fabricated by magnetic field assisted wire-arc additive manufacturing after heat-treated

In this investigation, Al–Cu alloy was used for wire-arc additive manufacturing experiment with and without assisted longitudinal magnetic field (ALMF) introduced, subsequently, heat treatment was conducted, aiming to investigate the variations of the improved characteristics brought by ALMF on microstructure and mechanical properties after heat-treated. The results indicated that the improved pores condition brought by ALMF was greatly weakened after heat-treated, while the promotion for the columnar to equiaxed transition and the improvement to precipitation remained. As for mechanical properties, the improvement of the uniform distribution of microhardness by the ALMF deteriorated. Moreover, the optimisation brought by ALMF on reducing the anisotropy of tensile strength was greatly weakened, and the improvement of elongation disappeared.

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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.