Next Generation Computer Controlled Optical Surfacing

Precision optics can be accurately fabricated by computer controlled optical surfacing (CCOS) that uses well characterized polishing tools driven by numerically controlled machines. The CCOS process is optimized to vary the dwell time of the tool on the workpiece according to the desired removal and...

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Main Author: Kim, Dae Wook
Other Authors: Burge, James H.
Language:EN
Published: The University of Arizona. 2009
Subjects:
Online Access:http://hdl.handle.net/10150/193661
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spelling ndltd-arizona.edu-oai-arizona.openrepository.com-10150-1936612015-10-23T04:39:43Z Next Generation Computer Controlled Optical Surfacing Kim, Dae Wook Burge, James H. Parks, Robert Martin, Hubert Sasian, Jose Computer Controlled Optical Surfacing Edge removal Optics Fabrication Polishing Rigid Conformal Lap Smoothing Precision optics can be accurately fabricated by computer controlled optical surfacing (CCOS) that uses well characterized polishing tools driven by numerically controlled machines. The CCOS process is optimized to vary the dwell time of the tool on the workpiece according to the desired removal and the calibrated tool influence function (TIF), which is the shape of the wear function by the tool. This study investigates four major topics to improve current CCOS processes, and provides new solutions and approaches for the next generation CCOS processes.The first topic is to develop a tool for highly aspheric optics fabrication. Both the TIF stability and surface finish rely on the tool maintaining intimate contact with the workpiece. Rigid tools smooth the surface, but do not maintain intimate contacts for aspheric surfaces. Flexible tools conform to the surface, but lack smoothing. A rigid conformal (RC) lap using a visco-elastic non-Newtonian medium was developed. It conforms to the aspheric shape, yet maintains stability to provide natural smoothing.The second topic is a smoothing model for the RC lap. The smoothing naturally removes mid-to-high frequency errors while a large tool runs over the workpiece to remove low frequency errors efficiently. The CCOS process convergence rate can be significantly improved by predicting the smoothing effects. A parametric smoothing model was introduced and verified.The third topic is establishing a TIF model to represent measured TIFs. While the linear Preston's model works for most cases, non-linear removal behavior as the tool overhangs the workpiece edge introduces a difficulty in modeling. A parametric model for the edge TIFs was introduced and demonstrated. Various TIFs based on the model are provided as a library.The last topic is an enhanced process optimization technique. A non-sequential optimization technique using multiple TIFs was developed. Operating a CCOS with a small and well characterized TIF achieves excellent performance, but takes a long time. Sequential polishing runs using large and small tools can reduce this polishing time. The non-sequential approach performs multiple dwell time optimizations for the entire CCOS runs simultaneously. The actual runs will be sequential, but the optimization is comprehensive. 2009 text Electronic Dissertation http://hdl.handle.net/10150/193661 659753597 10760 EN Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. The University of Arizona.
collection NDLTD
language EN
sources NDLTD
topic Computer Controlled Optical Surfacing
Edge removal
Optics Fabrication
Polishing
Rigid Conformal Lap
Smoothing
spellingShingle Computer Controlled Optical Surfacing
Edge removal
Optics Fabrication
Polishing
Rigid Conformal Lap
Smoothing
Kim, Dae Wook
Next Generation Computer Controlled Optical Surfacing
description Precision optics can be accurately fabricated by computer controlled optical surfacing (CCOS) that uses well characterized polishing tools driven by numerically controlled machines. The CCOS process is optimized to vary the dwell time of the tool on the workpiece according to the desired removal and the calibrated tool influence function (TIF), which is the shape of the wear function by the tool. This study investigates four major topics to improve current CCOS processes, and provides new solutions and approaches for the next generation CCOS processes.The first topic is to develop a tool for highly aspheric optics fabrication. Both the TIF stability and surface finish rely on the tool maintaining intimate contact with the workpiece. Rigid tools smooth the surface, but do not maintain intimate contacts for aspheric surfaces. Flexible tools conform to the surface, but lack smoothing. A rigid conformal (RC) lap using a visco-elastic non-Newtonian medium was developed. It conforms to the aspheric shape, yet maintains stability to provide natural smoothing.The second topic is a smoothing model for the RC lap. The smoothing naturally removes mid-to-high frequency errors while a large tool runs over the workpiece to remove low frequency errors efficiently. The CCOS process convergence rate can be significantly improved by predicting the smoothing effects. A parametric smoothing model was introduced and verified.The third topic is establishing a TIF model to represent measured TIFs. While the linear Preston's model works for most cases, non-linear removal behavior as the tool overhangs the workpiece edge introduces a difficulty in modeling. A parametric model for the edge TIFs was introduced and demonstrated. Various TIFs based on the model are provided as a library.The last topic is an enhanced process optimization technique. A non-sequential optimization technique using multiple TIFs was developed. Operating a CCOS with a small and well characterized TIF achieves excellent performance, but takes a long time. Sequential polishing runs using large and small tools can reduce this polishing time. The non-sequential approach performs multiple dwell time optimizations for the entire CCOS runs simultaneously. The actual runs will be sequential, but the optimization is comprehensive.
author2 Burge, James H.
author_facet Burge, James H.
Kim, Dae Wook
author Kim, Dae Wook
author_sort Kim, Dae Wook
title Next Generation Computer Controlled Optical Surfacing
title_short Next Generation Computer Controlled Optical Surfacing
title_full Next Generation Computer Controlled Optical Surfacing
title_fullStr Next Generation Computer Controlled Optical Surfacing
title_full_unstemmed Next Generation Computer Controlled Optical Surfacing
title_sort next generation computer controlled optical surfacing
publisher The University of Arizona.
publishDate 2009
url http://hdl.handle.net/10150/193661
work_keys_str_mv AT kimdaewook nextgenerationcomputercontrolledopticalsurfacing
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