Method of monitoring cutting point state in laser cutting plank process based on vision

被引:0
作者
Gao, Shiyou [1 ]
Ma, Lei [2 ]
Zhang, Runsheng [2 ]
机构
[1] College of Mechanical Engineering, Yanshan University, Qinhuangdao
[2] College of Vehicles and Energy, Yanshan University, Qinhuangdao
来源
Zhongguo Jiguang/Chinese Journal of Lasers | 2012年 / 39卷 / 02期
关键词
Edge identification; Laser cutting; Laser technique; Objective function; Plank;
D O I
10.3788/CJL201239.0203007
中图分类号
学科分类号
摘要
Fiber of optical lens and color industrial video camera are used to capture image of cutting point in laser cutting process. Blue channel, green channel and red channel images are adopted to analyze cutting point geometry shape from color image. The position of laser beam focal point is used as origin of coordinates and the coordinate system is set up. The x axis is original direction and interval is 45 degree, the edge points of laser cutting region are searched from eight directions. According to distances from origin of coordinates to edge points, the laser cutting direction and cutting peak are fixed. Parabola model is set up, and the objective function is designed according to gray feature, gradient feature and direction feature, and the objective function is used to identify edge at bilateral cutting peak, and then cutting point geometry shape is identified. Test shows that the method has preferable adaptability, accuracy and real-time quality.
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共 12 条
[1]  
Arif A.F.M., Yilbas B.S., Abdul Aleem B.J., Laser cutting of thick sheet metals: residual stress analysis, Opt. & Laser Technol., 41, 3, pp. 224-232, (2009)
[2]  
Yilbas B.S., Laser cutting of thick sheet metals: effects of cutting parameters on kerf size variations, Journal of Materials Processing Technology, 201, 1-3, pp. 285-290, (2008)
[3]  
Fallahi Sichani E., De Keuster J., Kruth J.-P., Monitoring and adaptive control of CO <sub>2</sub> laser flame cutting, Physics Procedia, 5, 8, pp. 483-492, (2010)
[4]  
Leidinger D., Penz A., Schuocker D., Improved manufacturing processes with high power lasers, Infrared Physics & Technology, 36, 1, pp. 251-266, (1995)
[5]  
Huang M.Y., Chatwin C.R., A knowledge-based adaptive control environment for an industrial laser cutting system, Opt. and Lasers in Engng., 21, 5, pp. 273-295, (1994)
[6]  
Kaebernick H., Jeromin A., Mathew P., Adaptive control for laser cutting using striation frequency analysis, CIRP Annals-Manufacturing Technology, 47, 1, pp. 137-140, (1998)
[7]  
Schulz W., Kostrykin V., Zefferer H., Et al., A free boundary problem related to laser beam fusion cutting: ODE approximation, International Journal of Heat and Mass Transfer, 40, 12, pp. 2913-2928, (1997)
[8]  
Sheng P., Chryssolouris G., Investigation of acoustic sensing for laser machining processes Part 2: Laser grooving and cutting, Journal of Materials Processing Technology, 43, 2-4, pp. 145-163, (1994)
[9]  
Danisman K., Yilbas B.S., Gorur A., Et al., Study of some characteristics of the plasma generated during a CO <sub>2</sub> laser beam cutting process, Opt. & Laser Technol., 24, 1, pp. 33-38, (1992)
[10]  
Yilba B.S., Experimental investigation into CO <sub>2</sub> laser cutting parameters, Journal of Materials Processing Technology, 58, 2-3, pp. 323-330, (1996)