A new error measurement method to identify all six error parameters of a rotational axis of a machine tool. (January 2015)

• Record Type: Journal Article
• Authors: He, Zhenya; Fu, Jianzhong; Zhang, Liangchi; Yao, Xinhua
• Is Part Of: International journal of machine tools & manufacture. Volume 88(2015:Jan.)
• Page Start: 1
• Page End: 8
• Publication Date: 2015-01
• Subjects: Error identification -- Error compensation -- Rotational axis -- Dual optical path -- Machining accuracy -- Five-axis machine tools; Machine-tools -- Periodicals; Manufacturing processes -- Periodicals; Machines-outils -- Périodiques; Fabrication -- Périodiques; Electronic journals; 621.902
• DOI: 10.1016/j.ijmachtools.2014.07.009
• Languages: English
• ISSNs: 0890-6955

Abstract

Abstract: This paper presents a new error measurement method, a Dual Optical Path Measurement Method (DOPMM), to identify error parameters of the rotational axis of a machine tool along its error sensitive directions. The method development was carried out on a motorized rotary stage equipped with a Doppler laser instrument. An error measurement experiment and a machining experiment were conducted on a five-axis machining center with a titling rotary table. It was found that the DOPMM can identify all of the six volumetric error parameters with the simple algebraic operations. Compared with the existing ball bar tests, which need a mathematical error modeling of machine tools to separate the error parameters, the identified process of DOPMM is more simple and easier to understand. And the operation of machine tools during the measurement is much easier than that of the existing ball bar tests. The experimental results showed that the part precision can have a significant improvement of 68% when the identified error parameters are used for error compensation. Hence, the measurement method established in this study is sensible and efficient, and could be used for the error compensation on a wide range of machine tools to improve their machining precision. Highlights: All the six error parameters inherent to a rotation axis can be identified. Only the measured axis is moving during the measurement process. The error identification does not need a volumetric error modeling. The identified process, a simple algebraic process, is easier to understand.