On-Line Detection of Porosity in Gas Tungsten Arc Welding of Aluminum Alloy Based on Spectrum Features

The real-time detection of porosity in welding process is an important problem to be solved in intelligent welding manufacturing. A new on-line detection method for porosity of aluminum alloy in robotic arc welding based on arc spectrum is proposed in this paper. First, k -shape and the improved k -...

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Bibliographic Details
Published in:Shanghai jiao tong da xue xue bao 2024-04, Vol.29 (2), p.339-348
Main Authors: Jiang, Haoqiang, Chen, Shanben, Xu, Jingyuan
Format: Article
Language:English
Subjects:
Aluminum
Aluminum alloys
Aluminum base alloys
Arc welding machines
Architecture
Computer Science
Electrical Engineering
Engineering
Gas tungsten arc welding
Life Sciences
Materials Science
Porosity
Redundancy
Tungsten
Weld defects
Welding
Welding parameters
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Summary:The real-time detection of porosity in welding process is an important problem to be solved in intelligent welding manufacturing. A new on-line detection method for porosity of aluminum alloy in robotic arc welding based on arc spectrum is proposed in this paper. First, k -shape and the improved k -means were used for the initial feature selection of the preprocessed arc spectrum to reduce the data dimension. Second, the secondary feature selection was carried out based on the importance of features to further reduce feature redundancy. Then, the optimal sample label library was established by combining the final characteristic parameters and the X-ray pictures of welds. Finally, an on-line detection method of porosity in gas tungsten arc welding of aluminum alloy based on light gradient boosting machine (LightGBM) was proposed. Compared with extreme gradient boosting (XGBoost) and categorical boosting (CatBoost), this method can achieve better detection performance. The new method proposed in this paper can be used to detect other welding defects, which is helpful to the development of intelligent welding technology.
ISSN:1007-1172
1995-8188
DOI:10.1007/s12204-022-2495-5