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Real time inverse kinematics of a general 5-axis CNC machine

Real time inverse kinematics of a general 5-axis CNC machine

Chu, Anh My, Le, Chi Hieu ORCID: 0000-0002-5168-2297, Duong, Xuan Bien, Bohez, Erik L. J., Vu, Minh Duc, Nguyen, Tien Anh, Nguyen, Van Cong, Parkianather, Michael and Hoang, Chu Duc (2021) Real time inverse kinematics of a general 5-axis CNC machine. In: Long, Banh Tien, Kim, Yun-Hae ORCID: 0000-0002-5168-2297, 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, Switzerland, pp. 991-999. ISBN 978-3030696092 (doi:https://doi.org/10.1007/978-3-030-69610-8_131)

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Abstract

In most of the previous investigations, the kinematics model of five-axis computer-numerical control (CNC) centers was formulated just at the position level, and the differential kinematic relationships (velocity, acceleration and jerk of the five joints of a five-axis center) that are necessary for several purposes, especially for investigating the relationship between the limits of a machine’s drives and the feed rate maximization (the productivity maximization), have been overlooked. Therefore, this paper addresses the differential kinematic modelling and analysis for the five-axis CNC centers. In particular, the differential kinematic equations are formulated in a parametric domain so that they are useful for investigating the kinematic behaviors of the five-axis centers in real time.

Item Type: Book Section
Uncontrolled Keywords: 5-axis CNC machining; Real time kinematics; Differential kinematics; Inverse kinematics
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: 08 Jun 2021 13:12
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/32272

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