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Proceedings Paper

Optical pattern recognition for adaptive welding control
Author(s): Michael G. Duncan
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Paper 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.

Paper Details

Date Published: 25 October 1993
PDF: 8 pages
Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); doi: 10.1117/12.160300
Show Author Affiliations
Michael G. Duncan, Martin Marietta Energy Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 1959:
Optical Pattern Recognition IV
David P. Casasent, Editor(s)

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