Dynamic modelling for the family of 5-axis CNC milling machines with application to feed-rate optimization

Chu, Anh-My, Nguyen, Van-Cong, Le, Chi-Hieu, Gao, James, Packianather, Michael ORCID: https://orcid.org/0000-0002-9436-8206 and Soe, Shwe 2025. Dynamic modelling for the family of 5-axis CNC milling machines with application to feed-rate optimization. Engineering Science and Technology, an International Journal 65 , 102015. 10.1016/j.jestch.2025.102015

Preview

PDF - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (4MB) | Preview

Abstract

The 5-axis CNC milling machines are complex mechanical systems, and they can be designed with hundreds of 5 degrees of freedom mechanisms. The kinematic and dynamic modelling of machines is crucial for optimising the machine design and the milling process. However, formulating the dynamics model of 5-axis milling machines has never been proposed so far. Moreover, efforts have been made to develop kinematic models for the machines; however, formulating the generalized kinematic model for all possible 5-axis milling machines in closed form is challenging. In this paper, a novel method of kinematic and dynamic modelling for the entire family of 5-axis milling machines is developed. First, the special features of the machines family are fully studied to formulate effectively the generalized forward and inverse kinematic equations in closed-form. Second, by treating each 5-axis mechanism as a closed mechanism subject to a nonlinear kinematic constraint characterizing the machining process, the dynamics model for the whole family of 5-axis milling machines is successfully formulated, and the inverse dynamic equation is derived in closed-form. Finally, to demonstrate the importance and impact of the proposed method, useful applications were conducted; and these were supported by both numerical simulations and actual cutting experiments. Compared with previous works, our study includes new generalized equations of kinematics and dynamics for the family of 5-axis milling machines, and useful applications of the proposed equations for optimization of the 5-axis machining.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Engineering
ISSN:	2215-0986
Funders:	VinGroup Innovation Foundation (VINIF)
Date of First Compliant Deposit:	22 April 2025
Date of Acceptance:	18 February 2025
Last Modified:	24 Apr 2025 10:30
URI:	https://orca.cardiff.ac.uk/id/eprint/177834

Actions (repository staff only)

Edit Item