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Real-time penetration recognition based on voltage signal in K-TIG welding
2023
发表期刊APPLIED SCIENCES (IF:2.5[JCR-2023],2.7[5-Year])
ISSN2076-3417
EISSN2076-3417
卷号13期号:13
发表状态已发表
DOI10.3390/app13137412
摘要

This paper focuses on discerning the melting state of keyhole tungsten inert gas (K-TIG) welding, a promising welding technique still considered a novelty. In order to achieve this goal, a sensing system is established to collect voltage signals during the welding process of 304 stainless steel. Analysis of the collected signals reveals that the characteristic signal power spectrum between 36 kHz and 37 kHz is closely related to whether the welding has complete joint penetration. The experimental findings confirm that the spectral power density of the characteristic signal varies significantly with the alteration of welding quality. Moreover, it is observed that when the welding melting state remains unchanged, the change in welding parameters is not noteworthy. When adjusting welding parameters to maintain stable feature signals during the welding process, the corresponding penetration state of the welding does change. Therefore, it is possible to ensure the stability of welding quality by altering welding parameters in real time. These research results provide valuable insights into the real-time quality monitoring of the K-TIG welding process.

关键词K-TIG welding welding quality arc voltage power spectrum real-time monitoring
学科门类工学
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收录类别SCIE ; SCI
语种英语
WOS研究方向Chemistry ; Engineering ; Materials Science ; Physics
WOS类目Chemistry, Multidisciplinary ; Engineering, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
WOS记录号WOS:001028356400001
出版者MDPI
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文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/299857
专题物质科学与技术学院_硕士生
创意与艺术学院_PI研究组(P)_谢广平组
创意与艺术学院_PI研究组(P)_杨锐组
创意与艺术学院_PI研究组(P)_武颖娜组
通讯作者Xie, Guangping
作者单位
ShanghaiTech Univ, Ctr Adapt Syst Engn, Sch Creat & Art, Shanghai 201210, Peoples R China
第一作者单位上海科技大学
通讯作者单位上海科技大学
第一作者的第一单位上海科技大学
推荐引用方式
GB/T 7714
Bai, Huizhong,Ni, Na,Wu, Yingna,et al. Real-time penetration recognition based on voltage signal in K-TIG welding[J]. APPLIED SCIENCES,2023,13(13).
APA Bai, Huizhong,Ni, Na,Wu, Yingna,Yang, Rui,&Xie, Guangping.(2023).Real-time penetration recognition based on voltage signal in K-TIG welding.APPLIED SCIENCES,13(13).
MLA Bai, Huizhong,et al."Real-time penetration recognition based on voltage signal in K-TIG welding".APPLIED SCIENCES 13.13(2023).
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