文献类型：期刊文献

英文题名：Detection of arc characteristics and weld forming quality of aluminum alloy DP-MIG welding using AE signal through resonance demodulation

作者：He, Kuanfang[1];Xia, Zixiong[1];Si, Yin[1];Liang, Jiahe[1];Yong, Jiangfeng[1];Shi, Wenqing[2]

机构：[1]Foshan Univ, Sch Mech & Elect Engn & Automat, Foshan 528000, Peoples R China;[2]Guangdong Ocean Univ, Coll Elect & Informat Engn, Zhanjiang 524088, Peoples R China

年份：2022

卷号：189

外文期刊名：MEASUREMENT

收录：SCI-EXPANDED(收录号：WOS:000749806600003)、、EI(收录号：20214711188402)、Scopus(收录号：2-s2.0-85119212383)、WOS

基金：This work is supported by Guangdong Provincial Natural Science Foundation of China (2020B1515120006), National Natural Science Foundation of China (62073089, 51475159) and Guangdong innovation team (2020KCXTD015), are gratefully acknowledged.

语种：英文

外文关键词：Aluminum alloy DP-MIG welding; AE signal; HHT; Resonance demodulation; Permutation entropy; Arc stability; Welding quality detection

外文摘要：Acoustic emission (AE) signals are generated during aluminum alloy double-pulse melt inert-gas (DP-MIG) welding, which contains physical information related to arc stability and weld forming quality. In this paper, the AE signal test platform of aluminum alloy DP-MIG welding is constructed. An adaptive resonance demodulation method for AE signals in unknown frequency bands is proposed, which is applied for the AE signals of the six groups different welding process parameters. The time-domain waveform and frequency spectrum of the ac-quired AE envelope signals are consistent with that of the arc current. Hilbert-Huang transform (HHT) is per -formed on the envelope signal to obtain a time-frequency diagram. The signal energy changes periodically along the time scale, and the frequency distribution ranges from 0 to 2000 Hz. The segmental entropy of the AE signal is calculated to evaluate the welding seam forming quality. The calculated entropy values of 0.6, 0.9 and 1 mean that the welding seam is formed well, the values of 1.6 and 1.9 mean that the welding seam is poor. The research provides a new and effective method for realizing the quality monitoring of aluminum alloy DP-MIG welding process.