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Fiducial-Aided Robust Positioning of Optical Freeform Surfaces

Form characterization of a machined optical freeform surface demands accurate alignment of the sampled measured data points on the machined surface, and they are compared with the designed geometry of the surface through positioning. In this paper, a fiducial-aided robust positioning method (FAPM) i...

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Detalles Bibliográficos
Autores principales: Wang, Shixiang, Cheung, Chi Fai, Ren, Mingjun, Liu, Mingyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6187354/
https://www.ncbi.nlm.nih.gov/pubmed/30393328
http://dx.doi.org/10.3390/mi9020052
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author Wang, Shixiang
Cheung, Chi Fai
Ren, Mingjun
Liu, Mingyu
author_facet Wang, Shixiang
Cheung, Chi Fai
Ren, Mingjun
Liu, Mingyu
author_sort Wang, Shixiang
collection PubMed
description Form characterization of a machined optical freeform surface demands accurate alignment of the sampled measured data points on the machined surface, and they are compared with the designed geometry of the surface through positioning. In this paper, a fiducial-aided robust positioning method (FAPM) is developed which attempts to evaluate freeform surfaces with high efficiency and precision. The FAPM method makes use of fiducials as reference datum to form a fiducial-aided computer-aided design (FA-CAD) of the freeform surface which not only establishes an inherent surface feature, but also links the different coordinate systems among design coordinate frame, machine tool, and measurement instrument. To verify the capability of the proposed method, a series of experiments were conducted. Compared with the traditional freeform measurement method (e.g., least squares method), the results indicate that the robustness and accuracy of the measurement is significantly enhanced by the FAPM.
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spelling pubmed-61873542018-11-01 Fiducial-Aided Robust Positioning of Optical Freeform Surfaces Wang, Shixiang Cheung, Chi Fai Ren, Mingjun Liu, Mingyu Micromachines (Basel) Article Form characterization of a machined optical freeform surface demands accurate alignment of the sampled measured data points on the machined surface, and they are compared with the designed geometry of the surface through positioning. In this paper, a fiducial-aided robust positioning method (FAPM) is developed which attempts to evaluate freeform surfaces with high efficiency and precision. The FAPM method makes use of fiducials as reference datum to form a fiducial-aided computer-aided design (FA-CAD) of the freeform surface which not only establishes an inherent surface feature, but also links the different coordinate systems among design coordinate frame, machine tool, and measurement instrument. To verify the capability of the proposed method, a series of experiments were conducted. Compared with the traditional freeform measurement method (e.g., least squares method), the results indicate that the robustness and accuracy of the measurement is significantly enhanced by the FAPM. MDPI 2018-01-30 /pmc/articles/PMC6187354/ /pubmed/30393328 http://dx.doi.org/10.3390/mi9020052 Text en © 2018 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Shixiang
Cheung, Chi Fai
Ren, Mingjun
Liu, Mingyu
Fiducial-Aided Robust Positioning of Optical Freeform Surfaces
title Fiducial-Aided Robust Positioning of Optical Freeform Surfaces
title_full Fiducial-Aided Robust Positioning of Optical Freeform Surfaces
title_fullStr Fiducial-Aided Robust Positioning of Optical Freeform Surfaces
title_full_unstemmed Fiducial-Aided Robust Positioning of Optical Freeform Surfaces
title_short Fiducial-Aided Robust Positioning of Optical Freeform Surfaces
title_sort fiducial-aided robust positioning of optical freeform surfaces
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6187354/
https://www.ncbi.nlm.nih.gov/pubmed/30393328
http://dx.doi.org/10.3390/mi9020052
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