Advanced Optical Coherence Tomography for Real-Time Detection of Defects in Aluminum Alloy Laser Welding
In order to measure the quality of aluminum alloy laser welding workpiece online, an optical coherence tomography on-line detection system was established. Porosity is one of the most common defects in laser welding of aluminum alloy. The porosity produced during welding will seriously affect the we...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2024-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/454975 |
| _version_ | 1797206216662843392 |
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| author | Zhengying Jiang Zhengang Jiang |
| author_facet | Zhengying Jiang Zhengang Jiang |
| author_sort | Zhengying Jiang |
| collection | DOAJ |
| description | In order to measure the quality of aluminum alloy laser welding workpiece online, an optical coherence tomography on-line detection system was established. Porosity is one of the most common defects in laser welding of aluminum alloy. The porosity produced during welding will seriously affect the welding quality. Firstly, a test device of laser welding quality detection system is built based on optical coherence tomography algorithm. Then, the theoretical model of the optical coherence tomography detection system is built, and the key parameters affecting the detection device are qualitatively analyzed. Then, deep convolutional neural network algorithm is used to process the image. Finally, the testing equipment is used to test the sample, and the testing results are analyzed. The experimental results show that this method can detect the weld quality of laser welding, and the detection accuracy is 20 μm. |
| first_indexed | 2024-04-24T09:03:30Z |
| format | Article |
| id | doaj.art-f8747cfc87964d9292c3fd7350c8e8e3 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:03:30Z |
| publishDate | 2024-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-f8747cfc87964d9292c3fd7350c8e8e32024-04-15T19:24:28ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392024-01-0131233934410.17559/TV-20231011001015Advanced Optical Coherence Tomography for Real-Time Detection of Defects in Aluminum Alloy Laser WeldingZhengying Jiang0Zhengang Jiang1College of computer science and technology, Changchun university of science and technology, Changchun ,130022, China; College of Physics, Changchun Normal University, Changchun,130032, ChinaCollege of computer science and technology, Changchun university of science and technology, Changchun ,130022, ChinaIn order to measure the quality of aluminum alloy laser welding workpiece online, an optical coherence tomography on-line detection system was established. Porosity is one of the most common defects in laser welding of aluminum alloy. The porosity produced during welding will seriously affect the welding quality. Firstly, a test device of laser welding quality detection system is built based on optical coherence tomography algorithm. Then, the theoretical model of the optical coherence tomography detection system is built, and the key parameters affecting the detection device are qualitatively analyzed. Then, deep convolutional neural network algorithm is used to process the image. Finally, the testing equipment is used to test the sample, and the testing results are analyzed. The experimental results show that this method can detect the weld quality of laser welding, and the detection accuracy is 20 μm.https://hrcak.srce.hr/file/454975deep convolutional neural networklaser weldingoptical coherence tomography |
| spellingShingle | Zhengying Jiang Zhengang Jiang Advanced Optical Coherence Tomography for Real-Time Detection of Defects in Aluminum Alloy Laser Welding Tehnički Vjesnik deep convolutional neural network laser welding optical coherence tomography |
| title | Advanced Optical Coherence Tomography for Real-Time Detection of Defects in Aluminum Alloy Laser Welding |
| title_full | Advanced Optical Coherence Tomography for Real-Time Detection of Defects in Aluminum Alloy Laser Welding |
| title_fullStr | Advanced Optical Coherence Tomography for Real-Time Detection of Defects in Aluminum Alloy Laser Welding |
| title_full_unstemmed | Advanced Optical Coherence Tomography for Real-Time Detection of Defects in Aluminum Alloy Laser Welding |
| title_short | Advanced Optical Coherence Tomography for Real-Time Detection of Defects in Aluminum Alloy Laser Welding |
| title_sort | advanced optical coherence tomography for real time detection of defects in aluminum alloy laser welding |
| topic | deep convolutional neural network laser welding optical coherence tomography |
| url | https://hrcak.srce.hr/file/454975 |
| work_keys_str_mv | AT zhengyingjiang advancedopticalcoherencetomographyforrealtimedetectionofdefectsinaluminumalloylaserwelding AT zhengangjiang advancedopticalcoherencetomographyforrealtimedetectionofdefectsinaluminumalloylaserwelding |