Time-frequency analysis of laser weld signature

Allen S. Sun; Elijah Kannatey-Asibu Jr.; William J. Williams; Mark Gartner

doi:10.1117/12.448639

20 November 2001 Time-frequency analysis of laser weld signature

Allen S. Sun, Elijah Kannatey-Asibu Jr., William J. Williams, Mark Gartner

Proceedings Volume 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI; (2001) https://doi.org/10.1117/12.448639
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

Reliable monitoring methods are essential for maintaining a high level of quality control in laser welding. In industrial processes, monitoring systems allow for quick decisions on the quality of the weld, allowing for high productions rates and reducing overall cost due to scrap. A monitoring system using infrared, ultraviolet, audible sound, and acoustic emission was implemented for monitoring CO₂ laser welds in real-time. The signals were analyzed using time-frequency analysis techniques. The time-frequency distribution using the Choi-Williams kernel was calculated, and the resulting distributions were analyzed using the Renyi information distribution. Results for porosity monitoring showed that an acoustic emission sensor held the most promise with 100% classification in two weld studies. These encouraging results led to a second study for monitoring of weld penetration and in the second case, infrared, ultraviolet, and audible sound showed the most promise with 100% classification for both laboratory and industrial data.

Citation Download Citation

Allen S. Sun, Elijah Kannatey-Asibu Jr., William J. Williams, and Mark Gartner "Time-frequency analysis of laser weld signature", Proc. SPIE 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI, (20 November 2001); https://doi.org/10.1117/12.448639

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