Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/77437
Title: | Model-based self-optimization method for form correction in the computer controlled bonnet polishing of optical freeform surfaces | Authors: | Cao, ZC Cheung, CF Liu, MY |
Issue Date: | 22-Jan-2018 | Source: | Optics express, 22 Jan. 2018, v. 26, no. 2, p. 2065-2078 | Abstract: | Freeform surfaces have become increasingly widespread in the optical systems for enhanced performance and compact lightweight packaging. The geometrical complexity and high precision requirements of optical freeform surfaces for various functional optical applications, has posed great challenges in the design, precision machining, and measurement of these surfaces. This paper presents a model-based self-optimization approach for precision machining and measurement of optical freeform surfaces in the computer controlled bonnet polishing (CCBP) process. To realize the technical feasibility, the process parameters and motion control are accurately performed through modelling and simulation of machining processes, error compensation, and on-machine metrology. | Publisher: | Optical Society of America | Journal: | Optics express | EISSN: | 1094-4087 | DOI: | 10.1364/OE.26.002065 | Rights: | © 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement (https://www.osapublishing.org/library/license_v1.cfm#VOR-OA) © 2018 Optical Society of America. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved. Journal © 2018 The following publication Cao, Z. C., Cheung, C. F., & Liu, M. Y. (2018). Model-based self-optimization method for form correction in the computer controlled bonnet polishing of optical freeform surfaces. Optics express, 26(2), 2065-2078 is available at https://doi.org/10.1364/OE.26.002065 |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
oe-26-2-2065.pdf | 4.45 MB | Adobe PDF | View/Open |
Page views
95
Last Week
1
1
Last month
Citations as of Apr 21, 2024
Downloads
29
Citations as of Apr 21, 2024
SCOPUSTM
Citations
17
Last Week
0
0
Last month
Citations as of Apr 19, 2024
WEB OF SCIENCETM
Citations
15
Last Week
0
0
Last month
Citations as of Apr 25, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.