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作 者:Yin Si Zixiong Xia Wei Liu Kexin Zhang Xiangyu Song
机构地区:[1]School of Information and Intelligent Engineering,Guangzhou Xinhua University,Guangzhou 510000,Guangdong Province,China [2]School of Mechanical and Electrical Engineering,Guangdong Engineering Polytechnic,Qingyuan 511510,Guangdong Province,China
出 处:《Journal of Electronic Research and Application》2024年第4期7-16,共10页电子研究与应用
基 金:The 2024 University-level Higher Education Teaching Reform Project of Guangzhou Xinhua University,“Teaching Reform and Practice Based on OBE Concept”:A Case Study of“University Physics Experiment”(Project No.2024J044)。
摘 要:Welding voltage and current in arc signals are directly related to arc stability and welding quality.Process experiments with different parameters were organized according to the orthogonal experimental design method by constructing an aluminum alloy double-pulse metal inert gas(MIG)welding arc electric signal test platform.The data acquisition system of the aluminum alloy MIG welding process was established to obtain real-time arc signal information reflecting the welding process.The aluminum alloy’s collected double-pulse arc current signals are decomposed adaptively by broadband mode decomposition(BMD).The direct current(DC)signal,pulse signal,distortion signal,ripple signal,and noise signal are separated and extracted,and the composite multiscale fuzzy entropy(CMFE)is calculated for the component set of the electrical signal.The experimental results show that the current waveform obtained by the double-pulse MIG welding current signal is consistent with the corresponding weld forming diagram.Simultaneously,the composite multiscale fuzzy entropy is calculated for the arc characteristic parameters.The rationality of matching process parameters and arc stability of aluminum alloy’s double-pulse MIG welding were evaluated.
关 键 词:Double-pulse MIG welding Electric arc signal Broadband mode decomposition Welding stability
分 类 号:TG1[金属学及工艺—金属学]
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