Spatter Tracking in Laser Machining
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.
KeywordsCamera Calibration Fundamental Matrix Proposal Distribution Camera Model Laser Machine
Unable to display preview. Download preview PDF.
- 1.Okamoto, Y., Uno, Y., Suzuki, H.: Effect of nozzle shape on micro-cutting performance of thin metal sheet by pulsed Nd: YAG laser. International Journal of Automation Technology 4 (2010)Google Scholar
- 2.Kolehmainen, J.T., Okamoto, Y., Yamamoto, H., Okada, A., Viitanen, T.T.: Measurement of the spatter velocity in fine laser cutting. JSPE Spring Meeting (2012)Google Scholar
- 5.Lowe, D.G.: Object recognition from local scale-invariant features. Computer Vision 7, 1150–1157 (1999)Google Scholar
- 9.Julier, S.J., Uhlmann, J.K.: A new extension of the Kalman filter to nonlinear systems. In: Int. Symp. Aerospace/Defense Sensing, Simul. and Controls, vol. 3 (1997)Google Scholar
- 10.Bar-Shalom, Y., Li, X.R., Kirubarajan, T.: Estimation with Applications to Tracking and Navigation. John Wiley & Sons, Inc. (2002)Google Scholar
- 11.Atcheson, B., Heide, F., Heidrich, W.: CALTag: High precision fiducial markers for camera calibration. Vision, Modeling, and Visualization, 41–48 (2010)Google Scholar