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Process monitoring during CO2 laser cutting

机译:CO2激光切割过程中的过程监控

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Abstract: On-line process control equipment for CO$-2$/ laser cutting is not available for industrial applications today. The majority of the industrial cutting machines are regulated off-line by highly-educated staffs. The quality inspection of the samples often is visual, and referred to different quality scales. Due to this lack of automatization, potential laser users hesitate to implement the cutting method and hereby to benefit from the advantages offered by the method. The first step toward an automatization of the process is development of a process monitoring system, and the investigation described in this paper is concentrated in the area of on-line quality detection during CO$-2$/ laser cutting. The method is based on detection of the emitted light from the cut front by photo diodes. The detection is made co-axial with the laser beam to assure independence of the chosen processing direction. ZnSe mirrors have been placed in the beam path, reflecting the laser beam but transmitting the visible light emitted from the process. Cut series of 2, 6 and 8 mm mild steel have been performed. Fourier Analyses and statistical analyses of the signals have been undertaken, and from these analyses it is possible to estimate the surface roughness in the cut kerf, dross attachment at the backside of the work piece and the penetration of the laser beam.!
机译:摘要:用于CO $ -2 $ /激光切割的在线过程控制设备目前不适用于工业应用。大多数工业切割机都是由受过良好教育的人员离线管理的。样品的质量检查通常是肉眼可见的,并且涉及不同的质量等级。由于缺乏自动化,潜在的激光使用者不愿实施切割方法,从而从该方法提供的优点中受益。实现过程自动化的第一步是开发过程监控系统,本文所述的研究主要集中在CO $ -2 $ /激光切割过程中的在线质量检测领域。该方法基于通过光电二极管检测从切割的正面发射的光。该检测与激光束同轴进行,以确保所选处理方向的独立性。 ZnSe反射镜已放置在光束路径中,反射激光束但透射了过程中发出的可见光。已经进行了2、6和8毫米低碳钢的切割系列。已经对信号进行了傅里叶分析和统计分析,并且从这些分析中,可以估算出切缝的表面粗糙度,工件背面的锡渣附着和激光束的穿透。

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