Optical pattern recognition for adaptive welding control

Michael G. Duncan

doi:10.1117/12.160300

25 October 1993 Optical pattern recognition for adaptive welding control

Michael G. Duncan

Proceedings Volume 1959, Optical Pattern Recognition IV; (1993) https://doi.org/10.1117/12.160300
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

A real-time pattern recognition system is being developed for use in the adaptive control of welding process. The weld-pool (composed of molten material) is a good indicator of welding quality. Fourier-optical processing is proposed that compares the weld-pool image against templates of various weld-pools shapes of which only one is optimum. If the weld-pool shape most closely matches a particular non-optimal shape, then the weld parameters that cause that aberration can be corrected; e.g., current too high, weld beam off of seam, etc. Correlation of edge-enhanced and windowed images with the template were evaluated. The ratio of matched to mismatched correlations can be improved from 2:1 to 30:1 by removing the electrode from the template and by measuring correlation where the electrode correlation peaks occur. Weld- pool position can be determined from location of correlation peaks. Computer simulations of optical edge detection show that phase-only filter is inappropriate, but magnitude-only filtering yields two edges for each real edge.

Citation Download Citation

Michael G. Duncan "Optical pattern recognition for adaptive welding control", Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); https://doi.org/10.1117/12.160300

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