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Automated beam monitoring and diagnosis for CO_2 lasers

机译:CO_2激光器的自动光束监测和诊断

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摘要

The usage of a quality management, in combination with a standard certification, is nearly inevitable for today's industrial manufacturing. In laser materials processing, a periodical beam diagnosis is to be executed as a quality-maintaining measure with any change of the workpiece geometry to guarantee an unambiguous allocation of the beam quality factors. Otherwise changes in the beam quality, caused by pollution, aging or defect of the optical components, remain unidentified for a long time, leading to impairments of the treatment quality or even costly down-times. As a solution a diagnosis system is integrated into a laser system. Data sources like measuring instruments, sensors and laser control transmitt the diagnosis data to a diagnosis PC. A user-friendly software, based on Fuzzy algorithms, enables the operator to retrace changes in the beam quality to failures of the laser system. All diagnosis data are getting archived in a databank. The access to the archived data through the World Wide Web allows remote diagnoses. With the help of the beam diagnosis system failures can be discovered in advance, and losses of production can be avoided. The gained transparency of the beam characteristic values facilitates the integration of the laser system in the quality management. A prototype installation has been realized and latest results will be demonstrated.
机译:对于当今的工业制造而言,将质量管理与标准认证相结合几乎是不可避免的。在激光材料加工中,应定期进行光束诊断,作为保持工件几何形状任何变化的质量保持措施,以确保光束质量因数的明确分配。否则,由于污染,老化或光学组件缺陷而导致的光束质量变化在很长一段时间内都不会被发现,从而导致治疗质量下降,甚至造成昂贵的停机时间。作为解决方案,将诊断系统集成到激光系统中。测量仪器,传感器和激光控制等数据源将诊断数据传输到诊断PC。一个基于模糊算法的用户友好软件,使操作员能够追溯光束质量的变化到激光系统的故障。所有诊断数据都已存储在数据库中。通过万维网访问存档数据可以进行远程诊断。借助光束诊断系统,可以提前发现故障,并避免生产损失。光束特性值的透明性有助于将激光系统集成到质量管理中。已经实现了原型安装,并将展示最新结果。

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