3D reconstruction of complex spatial weld seam for autonomous welding by laser structured light scanning. (March 2019)
- Record Type:
- Journal Article
- Title:
- 3D reconstruction of complex spatial weld seam for autonomous welding by laser structured light scanning. (March 2019)
- Main Title:
- 3D reconstruction of complex spatial weld seam for autonomous welding by laser structured light scanning
- Authors:
- Zhang, Ke
Yan, Minzhi
Huang, Tianyu
Zheng, Jian
Li, Zhuguo - Abstract:
- Abstract: As to improve the accuracy, efficiency and flexibility of welding process, intelligent welding is an inevitable trend in the future. To realize the modeling of autonomous welding path planning to the spatial complex weld of large workpiece, we designed a weld path autonomous programming system based on laser structure light, which effectively obtained three-dimensional (3D) information of workpiece by multiple segment scanning, then extracted weld features by grayscale image processing, and reconstructed spatial complex curve seam model by cubic smoothing spline and detected characteristic parameters of lap joints, contributing to subsequent self-generated welding procedures. Besides, experimental results showed that the recognition accuracy of the spatial curve seam by proposed method was within 0.4 mm, meeting the weld tracking requirements.
- Is Part Of:
- Journal of manufacturing processes. Volume 39(2019)
- Journal:
- Journal of manufacturing processes
- Issue:
- Volume 39(2019)
- Issue Display:
- Volume 39, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 39
- Issue:
- 2019
- Issue Sort Value:
- 2019-0039-2019-0000
- Page Start:
- 200
- Page End:
- 207
- Publication Date:
- 2019-03
- Subjects:
- Laser structured light -- Autonomous welding -- 3D reconstruction -- Cubic smoothing spline -- Cubic B-spline
Production management -- Data processing -- Periodicals
Manufacturing processes -- Periodicals
Procestechnologie
Productietechniek
Production -- Gestion -- Informatique -- Périodiques
Fabrication -- Périodiques
Manufacturing processes
Production management -- Data processing
Periodicals
670.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/15266125 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jmapro.2019.02.010 ↗
- Languages:
- English
- ISSNs:
- 1526-6125
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5011.640000
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