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Defect Detection of Laser Drilling Micro Holes Using Photodiode Sensor and Autoencoders
S. M. Lee(이수민),M. K. Jeong(정민기),D. W. Yeo(여대원),Y. K. Lee(이용관) Korean Society for Precision Engineering 2021 한국정밀공학회 학술발표대회 논문집 Vol.2021 No.11월
Laser micro drilling is a manufacturing method commonly used to drill holes of microscopic diameters into metals. The size and quantity of holes drilled pose a challenge in accurate, thorough, and time-efficient quality control. We observed an abnormal amount of visible light scattered when the laser failed to drill through the material and created a defective hole. Using this observation, we hypothesized there would be a difference in the pattern of light around the work area during successful and defective drilling. In this paper we propose the usage of a photodiode sensor and autoencoders for in-situ progress monitoring and defect detection of laser micro drilling. We generated simulation data of the expected power over time prior to the data collection and trained CNN and LSTM autoencoders as a proof of concept. The photodiode sensor was installed at an angle to the 1064 nm Nd:YAG Laser to collect scattered, reflected and emitted light. Data collected showed high similarity to the general pattern of simulated data.