Description
The welding industry is exploring various computer-aided strategies to improve weld and part quality. Incorporating inline 2D visual data has proven beneficial for real-time monitoring and controlling of welding processes. This can include measuring the shape of the weld pool, the width and height of the weld seam, or analyzing the surface to detect defects. In wire-arc additive manufacturing this is even more important as the build process is challenging to control.However, the quality of the images captured by the camera can be very challenging, especially when using cameras without active illumination. Experienced welding operators can derive meaningful information from welding visualizations, that are not easy to read for non-experts. Automated image analysis even of challenging images, should thus be able to deliver process feedback.
In this presentation, the state of the art in 2D vision monitoring in the welding industry will be presented including current AIT research in the area of WAAM and Gas Metal Arc Welding.
Period | 10 Oct 2024 |
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Event title | Scientific Vison Days im Rahmen der Vision Messe 2024 |
Event type | Exhibition |
Location | Stuttgart, GermanyShow on map |
Degree of Recognition | International |
Research Field
- High-Performance Vision Systems
- Complex Dynamical Systems
Keywords
- 2D monitoring
- melt pool segmentation
- welding
Documents & Links
- Abstract Michno Tomasz 2D monitoring in arc welding scenarios
File: application/vnd.openxmlformats-officedocument.wordprocessingml.document, 12.9 KB
Type: Text
Related content
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Research output
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Process modeling and control for additive manufacturing of Ti-6Al-4V using plasma arc welding - methodology and experimental validation
Research output: Contribution to journal › Article › peer-review