A comprehensive review of dwell time optimization methods in computer-controlled optical surfacing

Dwell time plays a vital role in determining the accuracy and convergence of the computer-controlled optical surfacing process. However, optimizing dwell time presents a challenge due to its ill-posed nature, resulting in nonunique solutions. To address this issue, several well-known methods have e...

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Main Authors: Wang, Tianyi, Ke, Xiaolong, Huang, Lei, Cui, Qingqing, Zhang, Zili, Wang, Chunjin, Kang, Hyukmo, Pullen, Weslin, Choi, Heejoo, Kim, Daewook, Negi, Vipender, Kemao, Qian, Zhu, Yi, Giorgio, Stefano, Boccabella, Philip, Bouet, Nathalie, Austin, Corey, Idir, Mourad
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/179742
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1797422024-08-23T15:36:00Z A comprehensive review of dwell time optimization methods in computer-controlled optical surfacing Wang, Tianyi Ke, Xiaolong Huang, Lei Cui, Qingqing Zhang, Zili Wang, Chunjin Kang, Hyukmo Pullen, Weslin Choi, Heejoo Kim, Daewook Negi, Vipender Kemao, Qian Zhu, Yi Giorgio, Stefano Boccabella, Philip Bouet, Nathalie Austin, Corey Idir, Mourad School of Computer Science and Engineering Computer and Information Science Dwell time optimization Finishing Dwell time plays a vital role in determining the accuracy and convergence of the computer-controlled optical surfacing process. However, optimizing dwell time presents a challenge due to its ill-posed nature, resulting in nonunique solutions. To address this issue, several well-known methods have emerged, including the iterative, Bayesian, Fourier transform, and matrix-form methods. Despite their independent development, these methods share common objectives, such as minimizing residual errors, ensuring dwell time's positivity and smoothness, minimizing total processing time, and enabling flexible dwell positions. This paper aims to comprehensively review the existing dwell time optimization methods, explore their interrelationships, provide insights for their effective implementations, evaluate their performances, and ultimately propose a unified dwell time optimization methodology Published version This work was supported by the Accelerator and Detector Research Program, part of the Scientific User Facility Division of the Basic Energy Science Office of the U.S. Department of Energy (DOE), under the Field Work Proposal No. FWP-PS032. This research was performed at the Optical Metrology Laboratory at the National Synchrotron Light Source II, a U.S. DOE Office of Science User Facility operated by Brookhaven National Laboratory (BNL) under Contract No. DE-SC0012704. This work was performed under the BNL LDRD 17-016 “Diffraction limited and wavefront preserving reflective optics development.” This work was also supported by the Natural Science Foundation of Fujian Province, China, under grant number 2022J011245 2024-08-20T05:57:54Z 2024-08-20T05:57:54Z 2024 Journal Article Wang, T., Ke, X., Huang, L., Cui, Q., Zhang, Z., Wang, C., Kang, H., Pullen, W., Choi, H., Kim, D., Negi, V., Kemao, Q., Zhu, Y., Giorgio, S., Boccabella, P., Bouet, N., Austin, C. & Idir, M. (2024). A comprehensive review of dwell time optimization methods in computer-controlled optical surfacing. Light: Advanced Manufacturing, 5(0), 1-. https://dx.doi.org/10.37188/lam.2024.021 2831-4093 https://hdl.handle.net/10356/179742 10.37188/lam.2024.021 0 5 1 en Light: Advanced Manufacturing © The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article′s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article′s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Computer and Information Science
Dwell time optimization
Finishing
spellingShingle Computer and Information Science
Dwell time optimization
Finishing
Wang, Tianyi
Ke, Xiaolong
Huang, Lei
Cui, Qingqing
Zhang, Zili
Wang, Chunjin
Kang, Hyukmo
Pullen, Weslin
Choi, Heejoo
Kim, Daewook
Negi, Vipender
Kemao, Qian
Zhu, Yi
Giorgio, Stefano
Boccabella, Philip
Bouet, Nathalie
Austin, Corey
Idir, Mourad
A comprehensive review of dwell time optimization methods in computer-controlled optical surfacing
description Dwell time plays a vital role in determining the accuracy and convergence of the computer-controlled optical surfacing process. However, optimizing dwell time presents a challenge due to its ill-posed nature, resulting in nonunique solutions. To address this issue, several well-known methods have emerged, including the iterative, Bayesian, Fourier transform, and matrix-form methods. Despite their independent development, these methods share common objectives, such as minimizing residual errors, ensuring dwell time's positivity and smoothness, minimizing total processing time, and enabling flexible dwell positions. This paper aims to comprehensively review the existing dwell time optimization methods, explore their interrelationships, provide insights for their effective implementations, evaluate their performances, and ultimately propose a unified dwell time optimization methodology
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Wang, Tianyi
Ke, Xiaolong
Huang, Lei
Cui, Qingqing
Zhang, Zili
Wang, Chunjin
Kang, Hyukmo
Pullen, Weslin
Choi, Heejoo
Kim, Daewook
Negi, Vipender
Kemao, Qian
Zhu, Yi
Giorgio, Stefano
Boccabella, Philip
Bouet, Nathalie
Austin, Corey
Idir, Mourad
format Article
author Wang, Tianyi
Ke, Xiaolong
Huang, Lei
Cui, Qingqing
Zhang, Zili
Wang, Chunjin
Kang, Hyukmo
Pullen, Weslin
Choi, Heejoo
Kim, Daewook
Negi, Vipender
Kemao, Qian
Zhu, Yi
Giorgio, Stefano
Boccabella, Philip
Bouet, Nathalie
Austin, Corey
Idir, Mourad
author_sort Wang, Tianyi
title A comprehensive review of dwell time optimization methods in computer-controlled optical surfacing
title_short A comprehensive review of dwell time optimization methods in computer-controlled optical surfacing
title_full A comprehensive review of dwell time optimization methods in computer-controlled optical surfacing
title_fullStr A comprehensive review of dwell time optimization methods in computer-controlled optical surfacing
title_full_unstemmed A comprehensive review of dwell time optimization methods in computer-controlled optical surfacing
title_sort comprehensive review of dwell time optimization methods in computer-controlled optical surfacing
publishDate 2024
url https://hdl.handle.net/10356/179742
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