3D reconstruction of GMAW pool surface using composite sensor technology. (February 2019)
- Record Type:
- Journal Article
- Title:
- 3D reconstruction of GMAW pool surface using composite sensor technology. (February 2019)
- Main Title:
- 3D reconstruction of GMAW pool surface using composite sensor technology
- Authors:
- Jin, Zeshi
Li, Haichao
Li, Ran
Sun, Yunfei
Gao, Hongming - Abstract:
- Highlights: A composite vision sensing system is proposed and used in our study. A spatial vision calibration is also proposed. A multistep predictive model is established to estimate pool tail height. The 3D surface of GMAW pool is estimated and reconstructed. Abstract: Weld pool is the most direct signal to reflect welding quality, that means measurement and reconstruction of the pool surface is one of the most urgent task in industrial robotic welding. A lot of researches have been done in this area, but the strong welding arc and the violent oscillation of weld pool affect their effectiveness. To better resolve this problem, a composite vision sensing system was proposed in our previous study, which consists of an active vision part and a passive vision part. The geometric parameters of the weld cross section and the weld pool have been successfully extracted by using this system. Based on the obtained information, the dynamic relationship between the weld speed and the bead geometric parameters is established by multistep predictive model based on neural network. By using the established model and iterative algorithm, the pool tail height is estimated in this paper. A spatial vision calibration is also proposed to calculate the real geometric parameters of the weld pool. Then the 3D surface of the weld pool is also reconstructed by the means of space curved surface fitting. Finally, the verification experiment is also conducted to verify the feasibility of this method.
- Is Part Of:
- Measurement. Volume 133(2019)
- Journal:
- Measurement
- Issue:
- Volume 133(2019)
- Issue Display:
- Volume 133, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 133
- Issue:
- 2019
- Issue Sort Value:
- 2019-0133-2019-0000
- Page Start:
- 508
- Page End:
- 521
- Publication Date:
- 2019-02
- Subjects:
- GMAW -- Pool and bead geometry -- Composite sensor technology -- Neural network -- 3D reconstruction
Weights and measures -- Periodicals
Measurement -- Periodicals
Measurement
Weights and measures
Periodicals
530.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02632241 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.measurement.2018.10.043 ↗
- Languages:
- English
- ISSNs:
- 0263-2241
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5413.544700
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- 8466.xml