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The International Journal of Advanced Manufacturing Technology
Erschienen in: The International Journal of Advanced Manufacturing Technology 5-8/2019

16.07.2019 | ORIGINAL ARTICLE

Multivariate orthogonal polynomial-based positioning error modeling and active compensation of dual-driven feed system

verfasst von: Meng Duan, Hong Lu, Xinbao Zhang, Zhangjie Li, Yongquan Zhang, Qi Liu

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 5-8/2019

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Abstract

The nonsynchronous error of the dual-driven feed system seriously affects the positioning and machining accuracy of CNC machine tools. Improving the positioning error is an extremely important task as it determines the geometric accuracy of the manufactured parts. In this paper, a Multivariate Orthogonal Polynomial Regression model has been developed to predict the positioning error in terms of motion parameters such as position and speed of the X1 and X2 axes of the dual-driven worktable. Orthogonal Experimental Design has been engaged in conducting experiments. The positioning errors are measured by a dual-frequency laser interferometer. In addition, a real-time error compensation system is developed based on the proposed active compensation control strategy in the dual-driven feed system controlled by Beckhoff motion control card. Experimental results show that the proposed positioning error model and error compensation strategy can be utilized as an effective manner to improve the accuracy of dual-driven CNC machine tools.
Vorheriger Artikel Residual stress prediction in ultrasonic vibration–assisted milling
Nächster Artikel Numerical study on the effect of thermal conduction on explosive welding interface

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Metadaten
Titel
Multivariate orthogonal polynomial-based positioning error modeling and active compensation of dual-driven feed system
verfasst von
Meng Duan
Hong Lu
Xinbao Zhang
Zhangjie Li
Yongquan Zhang
Qi Liu
Publikationsdatum
16.07.2019
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 5-8/2019
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-019-04040-2

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