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Informational properties of surface acoustic waves generated by laser-material interactions during laser precision machining

机译:激光精密加工中激光与材料相互作用产生的表面声波的信息特性

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摘要

Laser precision machining is primarily a computer numerical control based technology; therefore, the need for on-line process monitoring and control system is very high, mainly because, under usual circumstances, the operator has to make a host of complex decisions, based on a trial-and-error method, to set the process control parameters related to the laser, optics, workpiece material and motion system. However, the crucial element of any control system is information about the process and system dynamics. The problem of choosing reliable and, at the same time, physically observed information on process parameters becomes more complicated in the case of laser precision machining where the laser-material interactions generate a number of emissions with a different physical nature. To capture the informational properties from the measured signals and parameters for the purpose of monitoring and controlling the process, a thorough understanding of the entire laser-machining system performance and the laser-material interactions is required. This paper describes a method for the analysis of informational properties of surface acoustic waves to generate the knowledge as an informational basis for future development of on-line monitoring and process control systems. The study involves measurement of the acoustic emission signal from the laser-material interaction zone, the statistical and spectral signatures and the pattern recognition analysis to select informational parameters, which could reliably correlate with variations within the incident laser pulse energy.
机译:激光精密加工主要是基于计算机数控技术的技术。因此,对在线过程监控系统的需求非常高,这主要是因为在通常情况下,操作员必须根据反复试验方法做出一系列复杂的决定,以设置过程控制与激光,光学,工件材料和运动系统有关的参数。但是,任何控制系统的关键要素都是有关过程和系统动力学的信息。在激光精密加工的情况下,选择可靠且同时在物理上观察到的有关工艺参数的信息的问题变得更加复杂,在这种情况下,激光与材料的相互作用会产生许多物理性质不同的排放物。为了从测量的信号和参数中获取信息特性,以便监视和控制过程,需要对整个激光加工系统的性能以及激光与材料的相互作用有透彻的了解。本文介绍了一种方法,用于分析表面声波的信息特性,以生成知识,为在线监视和过程控制系统的未来发展提供信息基础。该研究涉及测量激光与材料相互作用区域的声发射信号,统计和光谱特征以及模式识别分析以选择信息参数,这些信息参数可以可靠地与入射激光脉冲能量的变化相关。

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