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Accuracy enhancement of CNC multi-axis machine tools through an on-line error identification and compensation strategy

机译:通过在线错误识别和补偿策略,CNC多轴机床的准确性增强

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In order to improve multi-axis machine accuracy, error compensation techniques have been widely applied. However, the lack of reliable methods for direct, global and comprehensive estimation implies that all compensation techniques are based on off-line sequential error components measurement. These measurements provide static results, and cannot reflect the actual machine conditions. Thus, these results are not representative of the real working conditions because of disturbances from thermal distortions and dynamic perturbations. This paper presents an on-line error identification and compensation approach for CNC multi-axis machine tools. Based on the simultaneous measurement of error components, the proposed identification scheme is built to ensure volumetric error prediction for an adaptive error compensation system. Implemented on a moving bridge type CMM, the approach led to a significant improvement of the three-dimensional measurement accuracy. Compared to the conventional off-line error compensation techniques, the proposed identification and compensation approach can further improve the compensation adaptability and efficiency.
机译:为了提高多轴机器精度,误差补偿技术已被广泛应用。但是,直接,全球和全面估计的可靠方法意味着所有补偿技术都基于离线顺序误差分量测量。这些测量提供了静态结果,不能反映实际的机器条件。因此,由于来自热扭曲和动态扰动的干扰,这些结果不代表实际工作条件。本文介绍了CNC多轴机床的在线误差识别和补偿方法。基于误差分量的同时测量,建立了所提出的识别方案,以确保自适应误差补偿系统的体积误差预测。在移动桥式CMM上实现,该方法导致了三维测量精度的显着提高。与传统的离线误差补偿技术相比,所提出的识别和补偿方法可以进一步提高补偿适应性和效率。

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