Process stability and forming accuracy on wire arc additive manufactured Al–Zn–Mg–Cu alloy with different electrode positive/electrode negative ratios of CMT advance process

IF 3.7 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Science and Technology of Welding and Joining Pub Date : 2023-01-03 DOI:10.1080/13621718.2022.2162712
Yuwen Wang, Ji Chen, Maoai Chen, H. Su, Wenbin Zhang, Chuansong Wu
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引用次数: 2

Abstract

The influence of electrode positive/electrode negative (EP/EN) ratio on cold metal transfer advance-based wire arc additive manufacturing (WAAM) process for Al–Zn–Mg–Cu alloy was studied in this paper. The process stability was investigated via analysing electrical waveforms and arc/metal transfer images concurrently. A high EP/EN ratio (≥ 13:7) was beneficial to decrease abnormal long wait phase duration of current and spatter of droplet, which improved the stability of WAAM process. The forming accuracies of the samples increased first and then decreased with the increase of EP/EN ratio due to the incompatibility of the heat input and molten pool flow. The average width and effective width coefficient showed a positive correlation with EP/EN ratio.
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CMT预成形工艺中不同电极正负比的电弧添加剂制备Al-Zn-Mg-Cu合金的工艺稳定性和成形精度
研究了电极正/负(EP/EN)比对Al–Zn–Mg–Cu合金冷金属转移先进的线弧增材制造(WAAM)工艺的影响。通过同时分析波形和电弧/金属转移图像来研究工艺稳定性。高的EP/EN比(≥13:7)有利于减少电流异常长等待期和液滴飞溅,提高WAAM工艺的稳定性。由于热输入和熔池流动的不相容性,样品的成形精度随着EP/EN比的增加先增加后降低。平均宽度和有效宽度系数与EP/EN比值呈正相关。
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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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