Research on Morphology Detection of Metal Additive Manufacturing Process Based on Fringe Projection and Binocular Vision
This paper considers the three-dimensional (3D) shape measurement of metal parts during an additive manufacturing process in a direct energy deposition (DED) printing system with high temperature and strong light; a binocular measurement system based on ultraviolet light source projection is built u...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/18/9232 |
| _version_ | 1797491506328633344 |
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| author | Min Wang Qican Zhang Qian Li Zhoujie Wu Chaowen Chen Jin Xu Junpeng Xue |
| author_facet | Min Wang Qican Zhang Qian Li Zhoujie Wu Chaowen Chen Jin Xu Junpeng Xue |
| author_sort | Min Wang |
| collection | DOAJ |
| description | This paper considers the three-dimensional (3D) shape measurement of metal parts during an additive manufacturing process in a direct energy deposition (DED) printing system with high temperature and strong light; a binocular measurement system based on ultraviolet light source projection is built using fringe projection and Fourier analysis. Firstly, ultraviolet light projection and an optical filter are used to obtain high-quality fringe patterns in an environment with thermal radiation. Then, Fourier analysis is carried out by using a single deformed fringe, and a spatial phase unwrapping algorithm is applied to obtain an unambiguous unwrapping phase, which is used as the guiding basis for the binocular matching process and 3D shape reconstruction. Finally, the accuracy of the measuring system is evaluated using a standard ball-bar gauge and the measurement error of this system is within 0.05 mm @ 100 × 100 mm. The results show that the system can measure 3D shape changes of metal parts in the additive manufacturing process. The proposed method and system have the potential to be used for online inspection and quality control of additive manufacturing. |
| first_indexed | 2024-03-10T00:49:25Z |
| format | Article |
| id | doaj.art-db5b60d9d4a248ed957a9ca2772e0cdc |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T00:49:25Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-db5b60d9d4a248ed957a9ca2772e0cdc2023-11-23T14:55:10ZengMDPI AGApplied Sciences2076-34172022-09-011218923210.3390/app12189232Research on Morphology Detection of Metal Additive Manufacturing Process Based on Fringe Projection and Binocular VisionMin Wang0Qican Zhang1Qian Li2Zhoujie Wu3Chaowen Chen4Jin Xu5Junpeng Xue6College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electronics and Information Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electronics and Information Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electronics and Information Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electronics and Information Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electronics and Information Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electronics and Information Engineering, Sichuan University, Chengdu 610065, ChinaThis paper considers the three-dimensional (3D) shape measurement of metal parts during an additive manufacturing process in a direct energy deposition (DED) printing system with high temperature and strong light; a binocular measurement system based on ultraviolet light source projection is built using fringe projection and Fourier analysis. Firstly, ultraviolet light projection and an optical filter are used to obtain high-quality fringe patterns in an environment with thermal radiation. Then, Fourier analysis is carried out by using a single deformed fringe, and a spatial phase unwrapping algorithm is applied to obtain an unambiguous unwrapping phase, which is used as the guiding basis for the binocular matching process and 3D shape reconstruction. Finally, the accuracy of the measuring system is evaluated using a standard ball-bar gauge and the measurement error of this system is within 0.05 mm @ 100 × 100 mm. The results show that the system can measure 3D shape changes of metal parts in the additive manufacturing process. The proposed method and system have the potential to be used for online inspection and quality control of additive manufacturing.https://www.mdpi.com/2076-3417/12/18/92323D shape measurementindustrial inspectionadditive manufacturingstructured light projectionbinocular vision |
| spellingShingle | Min Wang Qican Zhang Qian Li Zhoujie Wu Chaowen Chen Jin Xu Junpeng Xue Research on Morphology Detection of Metal Additive Manufacturing Process Based on Fringe Projection and Binocular Vision Applied Sciences 3D shape measurement industrial inspection additive manufacturing structured light projection binocular vision |
| title | Research on Morphology Detection of Metal Additive Manufacturing Process Based on Fringe Projection and Binocular Vision |
| title_full | Research on Morphology Detection of Metal Additive Manufacturing Process Based on Fringe Projection and Binocular Vision |
| title_fullStr | Research on Morphology Detection of Metal Additive Manufacturing Process Based on Fringe Projection and Binocular Vision |
| title_full_unstemmed | Research on Morphology Detection of Metal Additive Manufacturing Process Based on Fringe Projection and Binocular Vision |
| title_short | Research on Morphology Detection of Metal Additive Manufacturing Process Based on Fringe Projection and Binocular Vision |
| title_sort | research on morphology detection of metal additive manufacturing process based on fringe projection and binocular vision |
| topic | 3D shape measurement industrial inspection additive manufacturing structured light projection binocular vision |
| url | https://www.mdpi.com/2076-3417/12/18/9232 |
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