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A generalization approach for the kinematic modelling of the rotational axes of five-axis CNC centers

A generalization approach for the kinematic modelling of the rotational axes of five-axis CNC centers

Chu, Anh My, Le, Chi Hieu ORCID: 0000-0002-5168-2297, Duong, Xuan Bien, Erik, L.J. Bohez, Vu, Minh Duc, Nguyen, Tien Anh, Nguyen, Van Cong and Parkianather, Michael (2021) A generalization approach for the kinematic modelling of the rotational axes of five-axis CNC centers. In: Long, Banh Tien, Kim, Yun-Hae, Ishizaki, Kozo, Toan, Nguyen Duc, Parinov, Ivan A. and Vu, Ngoc Pi, (eds.) Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). Lecture Notes in Mechanical Engineering (LNME) . Springer Nature, Cham, Switzerland, pp. 893-990. ISBN 978-3030696092 (doi:https://doi.org/10.1007/978-3-030-69610-8_130)

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Abstract

In practice, the inverse kinematic modelling and analysis of a five-axis CNC center is of importance when transferring and postprocessing a cutter location (CL) data file for machining part surfaces of complex geometry. Decades ago, though there has been a number of investigations focusing on the kinematic modelling and postprocessor development for five-axis CNC centers, a little attention has been paid to the generalization of the inverse kinematic modelling for the rotational axes of five-axis CNC centers. In this paper, a new and general analytical approach for deriving effectively the inverse kinematic equation of two rotational axes of any five-axis CNC center is proposed. It has shown that the proposed technique is very useful for the postprocessor development of any five-axis CNC center.

Item Type: Book Section
Additional Information: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.
Uncontrolled Keywords: Five-axis CNC center; Inverse kinematic modelling; Postprocessor development
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Design, Manufacturing and Innovative Products Research Theme
Faculty of Engineering & Science > School of Engineering (ENN)
Last Modified: 24 May 2021 11:51
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/32273

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