A CO₂ Laser Camera

Abstract:

This paper develops a CO₂ laser camera by using an ARM embedded system with a CCD camera. The power controller, embedded on an FPGA chip, controls laser cutting depth by modifying the DPWM power controller for a CO₂ laser machine. The relationship model between feed rate, laser power and cutting depth was trained by the adaptive neural fuzzy inference system (ANFIS). Laser power output was determined by the grayscale level in the image from CCD camera to reproduce a bitmap image in a 2.5D engraving. The maximum laser cutting depth was 4mm, and the feed rate varied between 10mm/s and 80 mm/s. Laser power was less than 48W. The precision for the cutting depth in the model was less than 0.036mm. The precision for the actual cutting depth of the laser was within 0.044mm. Implementation of the model improved the precision of the laser cutting machine to within the range ±0.05mm.

• Periodical: Applied Mechanics and Materials (Volumes 300-301)
• Pages: 203-206
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.300-301.203
• Online since: February 2013
• Authors: Kuang Chyi Lee, Chen Chuan Hwu, Gavin Thomson
• Keywords: ANFIS, Digital Pulse-Width Modulation, Laser Camera, Power Control

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