Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27610
Title: A Toolpath Planning Method for Optical Freeform Surface Ultra-Precision Turning Based on NURBS Surface Curvature
Authors: Wang, X
Bai, Q
Gao, S
Zhao, L
Cheng, K
Keywords: optical freeform surfaces;surface analysis;toolpath planning;ultra-precision turning
Issue Date: 9-Nov-2023
Publisher: MDPI
Citation: Wang, X. et al. (2023) 'A Toolpath Planning Method for Optical Freeform Surface Ultra-Precision Turning Based on NURBS Surface Curvature', Machines, 11 (11), 1017, pp. 1 - 16. doi: 10.3390/machines11111017.
Abstract: Copyright © 2023 by the authors. As the applications for freeform optical surfaces continue to grow, the need for high-precision machining methods is becoming more and more of a necessity. Different toolpath strategies for the ultra-high precision turning of freeform surfaces can have a significant impact on the quality of the machined surfaces. This paper presents a novel toolpath planning method for ultra-precision slow tool servo diamond turning based on the curvature of freeform surfaces. The method analyzes the differential geometric properties of freeform surfaces by reconstructing NURBS freeform surfaces. A mathematical model is constructed based on the parameters of different positions of the freeform surface, toolpath parameters, and tool residual height. Appropriate toolpath parameters can be calculated to generate the optical freeform ultra-precision slow tool servo diamond turning toolpath. Compared with the toolpaths generated by the traditional Archimedes spiral method, the ultra-precision slow tool servo diamond turning toolpath planning method proposed in this paper can generate more uniform toolpaths on the freeform surfaces and keep the residual tool height within a small range.
Description: Data Availability Statement: All data are shown in the tables and figures in this paper.
URI: https://bura.brunel.ac.uk/handle/2438/27610
DOI: https://doi.org/10.3390/machines11111017
Other Identifiers: ORCID iD: Qingshun Bai https://orcid.org/0000-0002-8626-4431
ORCID iD: Kai Cheng https://orcid.org/0000-0001-6872-9736
1017
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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