Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/27610
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wang, X | - |
dc.contributor.author | Bai, Q | - |
dc.contributor.author | Gao, S | - |
dc.contributor.author | Zhao, L | - |
dc.contributor.author | Cheng, K | - |
dc.date.accessioned | 2023-11-12T20:04:43Z | - |
dc.date.available | 2023-11-12T20:04:43Z | - |
dc.date.issued | 2023-11-09 | - |
dc.identifier | ORCID iD: Qingshun Bai https://orcid.org/0000-0002-8626-4431 | - |
dc.identifier | ORCID iD: Kai Cheng https://orcid.org/0000-0001-6872-9736 | - |
dc.identifier | 1017 | - |
dc.identifier.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. | en_US |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/27610 | - |
dc.description | Data Availability Statement: All data are shown in the tables and figures in this paper. | en_US |
dc.description.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. | en_US |
dc.description.sponsorship | This research was funded by the national key research and development program of China, grant number 2022YFB3402705, and the key research and development program of Heilongjiang Province, grant number 2022ZX03A05. | en_US |
dc.format.extent | 1 - 16 | - |
dc.format.medium | Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | MDPI | en_US |
dc.rights | Copyright © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | optical freeform surfaces | en_US |
dc.subject | surface analysis | en_US |
dc.subject | toolpath planning | en_US |
dc.subject | ultra-precision turning | en_US |
dc.title | A Toolpath Planning Method for Optical Freeform Surface Ultra-Precision Turning Based on NURBS Surface Curvature | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.3390/machines11111017 | - |
dc.relation.isPartOf | Machines | - |
pubs.issue | 11 | - |
pubs.publication-status | Published online | - |
pubs.volume | 11 | - |
dc.identifier.eissn | 2075-1702 | - |
dc.rights.holder | The authors | - |
Appears in Collections: | Dept of Mechanical and Aerospace Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FullText.pdf | Copyright © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | 9.28 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License