ON-LINE SENSING OF LASER SURFACE MODIFICATION PROCESS BY COMPUTER VISION

摘要

Laser surface modification with alloying or re-melting often has unstable results. To achieve on-line control, process sensing is the key technology. This paper introduces molten pool imaging as laser processing feedback. Well-contrasted molten pool images are acquired in experiences eliminating the strong light from spatter and plasma. The image shows a clear correlation with laser power absorbed by bulk material, which can be used to provide molten depth on-line estimation in laser surface modification with constant scan velocity. An algorithm for real time image processing is developed. The algorithm shows a robust and high-speed performance.