Spatter Tracking in Laser Machining
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | Advances in Visual Computing. 8th International Symposium, ISVC 2012, July 16-18 2012, Rethymnon, Greece. Revised Selected Papers, Part 2. Lecture Notes in Computer Science. |
| Editors | G. Bebis, R. Boyle, B. Parvin, D. Koracin, C. Fowlkes, S. Wang, M.-H. Choi, S. Mantler, J. Schulze, D. Acevedo, K. Mueller, M. Papka |
| Place of Publication | Berlin Heidelberg |
| Publisher | Springer |
| Pages | 626-635 |
| ISBN (Electronic) | 978-3-642-33191-6 |
| ISBN (Print) | 978-3-642-33190-9 |
| DOIs | |
| Publication status | Published - 2012 |
| Publication type | A4 Article in a conference publication |
Publication series
| Name | International Symposium on Visual Computing |
|---|---|
| Volume | 7432 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Abstract
In laser drilling, an assist gas is often used to remove material from the drilling point. In order to design assist gas nozzles to minimize spatter formation, measurements of spatter trajectories are required. We apply computer vision methods to measure the 3D trajectories of spatter particles in a laser cutting event using a stereo camera configuration. We also propose a novel method for calibration of a weak perspective camera that is effective in our application. The proposed method is evaluated with both computer-generated video and video taken from actual laser drilling events. The method performs well on different workpiece materials.
Publication forum classification
Field of science, Statistics Finland
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