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On-Machine Measurement for Touch-Trigger Probes and Its Error Compensation

机译:触发式探针的机上测量及其误差补偿

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摘要

This paper advances a method to implement the on-machine measurement (OMM) with the touch-trigger probe, also called switching probes. Some of the advantages and disadvantages for touch-trigger probe are discussed. However, the touch-trigger probe errors exist and become one of the major errors for the measurement accuracy. Major factors that influence the probe measurement have been analyzed. The basic technique of probe measurement error modeling with artificial neural network was researched, and also the probe measurement error compensation with 3-layered back-propagation artificial neural network was presented. At last in the experimental system composed of DIXI 50 machining center, Fanuc 16i control system, Blum CNC P82.046 probe and PC, valid the correlated techniques. In addition, the connection and communication between the machining center equipped with probe system and the computer have been introduced. The experiment indicated that, using the touch-trigger probe makes on-machine measurement more automatic and efficient. And by using the back-propagation neural network for error compensation make on-machine measurement more precise.
机译:本文提出了一种使用触发触发式测头(也称为开关测头)实现在线测量(OMM)的方法。讨论了触发式探针的一些优缺点。但是,触发式测头误差存在并且成为测量精度的主要误差之一。分析了影响探头测量的主要因素。研究了利用人工神经网络进行探针测量误差建模的基本技术,并提出了利用三层反向传播人工神经网络进行探针测量误差补偿的方法。最后在由DIXI 50加工中心,Fanuc 16i控制系统,Blum CNC P82.046测头和PC组成的实验系统中,验证了相关技术的有效性。此外,还介绍了配备测头系统的加工中心与计算机之间的连接和通讯。实验表明,使用触发式测头使机上测量更加自动化和高效。并且,通过使用反向传播神经网络进行误差补偿,可以使机上测量更加精确。

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