Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/77437
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorCao, ZCen_US
dc.creatorCheung, CFen_US
dc.creatorLiu, MYen_US
dc.date.accessioned2018-08-28T01:32:19Z-
dc.date.available2018-08-28T01:32:19Z-
dc.identifier.urihttp://hdl.handle.net/10397/77437-
dc.language.isoenen_US
dc.publisherOptical Society of Americaen_US
dc.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)en_US
dc.rights© 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.en_US
dc.rightsJournal © 2018en_US
dc.rightsThe 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.26.002065en_US
dc.titleModel-based self-optimization method for form correction in the computer controlled bonnet polishing of optical freeform surfacesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2065en_US
dc.identifier.epage2078en_US
dc.identifier.volume26en_US
dc.identifier.issue2en_US
dc.identifier.doi10.1364/OE.26.002065en_US
dcterms.abstractFreeform 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.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationOptics express, 22 Jan. 2018, v. 26, no. 2, p. 2065-2078en_US
dcterms.isPartOfOptics expressen_US
dcterms.issued2018-01-22-
dc.identifier.isiWOS:000422935900151-
dc.identifier.scopus2-s2.0-85040907384-
dc.identifier.eissn1094-4087en_US
dc.identifier.rosgroupid2017002248-
dc.description.ros2017-2018 > Academic research: refereed > Publication in refereed journalen_US
dc.description.validate201808 bcrcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberISE-1055-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China (No. 51675456); Innovation and Technology Commission; The Hong Kong Polytechnic University (BBX7).en_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6813554-
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