Multi-tool optimization for computer controlled optical surfacing

被引:13
作者
Ke, Xiaolong [1 ]
Wang, Tianyi [2 ]
Zhang, Zili [3 ]
Huang, Lei [2 ]
Wang, Chunjin [3 ]
Negi, Vipender S. [4 ,5 ]
Pullen, Weslin C. [6 ]
Choi, Heejoo [6 ,7 ]
Kim, Daewook [6 ,7 ,8 ]
Idir, Mourad [2 ]
机构
[1] Xiamen Univ Technol, Sch Mech & Automot Engn, Xiamen 361024, Peoples R China
[2] Brookhaven Natl Lab, Natl Synchrotron Light Source II NSLS II, POB 5000, Upton, NY 11973 USA
[3] Hong Kong Polytech Univ, Dept Ind & Syst Engn, State Key Lab Ultraprecis Machining Technol, Hung Hom,Kowloon, Hong Kong, Peoples R China
[4] CSIR Cent Sci Instruments Org CSIR CSIO, Chandigarh 160030, India
[5] Acad Sci & Innovat Res AcSIR, Ghaziabad 201002, India
[6] Univ Arizona, James C Wyant Coll Opt Sci, 1630 E Univ Blvd,POB 210094, Tucson, AZ 85721 USA
[7] Univ Arizona, Large Binocular Telescope Observ, Tucson, AZ 85721 USA
[8] Univ Arizona, Dept Astron & Steward Observ, 933 N Cherry Ave, Tucson, AZ 85721 USA
关键词
DWELL-TIME ALGORITHM; ITERATIVE METHOD; MODEL;
D O I
10.1364/OE.456855
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
With the rapid development of precision technologies, the demand of high-precision optical surfaces has drastically increased. These optical surfaces are mainly fabricated with computer controlled optical surfacing (CCOS). In a CCOS process, a target surface removal profile is achieved by scheduling the dwell time for a set of machine tools. The optimized dwell time should be positive and smooth to ensure convergence to the target while considering CNC dynamics. The total run time of each machine tool is also expected to be balanced to improve the overall processing efficiency. In the past few decades, dwell time optimization for a single machine tool has been extensively developed. While the methods are applicable to multi-tool scenarios, they fail to consider the overall contributions of multiple tools simultaneously. In this paper, we conduct a systematic study on the strategies for multi-tool dwell time optimization and propose an innovative method for simultaneously scheduling dwell time for multiple tools for the first time. First, the influential factors to the positiveness and smoothness of dwell time solutions for a single machine tool are analyzed. The compensation strategies that minimize the residual while considering the CNC dynamics limit are then proposed. Afterwards, these strategies are extended to the proposed multi-tool optimization that further balances the run time of machine tools. Finally, the superiority of each strategy is carefully studied via simulation and experiment. The experiment is performed by bonnet polishing a 60 mm x 60 mm mirror with three tools of different diameters (i.e., 12 mm, 8 mm, and 5 mm). The figure error of the mirror is reduced from 45.42 nm to 11.18 nm root mean square in 13.28 min. Moreover, the measured polishing result well coincides with the estimation, which proves the effectiveness of the proposed method. (C) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
引用
收藏
页码:16957 / 16972
页数:16
相关论文
共 39 条
[1]   Analysis of generalized pattern searches [J].
Audet, C ;
Dennis, JE .
SIAM JOURNAL ON OPTIMIZATION, 2003, 13 (03) :889-903
[2]   Super-smooth finishing of diamond turned hard X-ray molding dies by combined fluid jet and bonnet polishing [J].
Beaucamp, Anthony ;
Namba, Yoshiharu .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2013, 62 (01) :315-318
[3]  
Carnal C. L., 1992, Proceedings of the SPIE - The International Society for Optical Engineering, V1752, P54, DOI 10.1117/12.130719
[4]   Toward the complete practicability for the linear-equation dwell time model in subaperture polishing [J].
Dong, Zhichao ;
Cheng, Haobo .
APPLIED OPTICS, 2015, 54 (30) :8884-8890
[5]   Robust linear equation dwell time model compatible with large scale discrete surface error matrix [J].
Dong, Zhichao ;
Cheng, Haobo ;
Tam, Hon-Yuen .
APPLIED OPTICS, 2015, 54 (10) :2747-2756
[6]   Modified dwell time optimization model and its applications in subaperture polishing [J].
Dong, Zhichao ;
Cheng, Haobo ;
Tam, Hon-Yuen .
APPLIED OPTICS, 2014, 53 (15) :3213-3224
[7]   Overview and Status of the Giant Magellan Telescope Project [J].
Fanson, James ;
Bernstein, Rebecca ;
Angeli, George ;
Ashby, David ;
Bigelow, Bruce ;
Brossus, Glenn ;
Bouchez, Antonin ;
Burgett, William ;
Contos, Adam ;
Demers, Richard ;
Figueroa, Francisco ;
Fischer, Barbara ;
Groark, Frank ;
Laskin, Robert ;
Millan-Gabet, Rafael ;
Pi, Marti ;
Wheeler, Nune .
GROUND-BASED AND AIRBORNE TELESCOPES VIII, 2020, 11445
[8]   LSMR: AN ITERATIVE ALGORITHM FOR SPARSE LEAST-SQUARES PROBLEMS [J].
Fong, David Chin-Lung ;
Saunders, Michael .
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2011, 33 (05) :2950-2971
[9]   Precision Optics Manufacturing and Control for Next-Generation Large Telescopes [J].
Graves L.R. ;
Smith G.A. ;
Apai D. ;
Kim D.W. .
Nanomanufacturing and Metrology, 2019, 2 (02) :65-90
[10]   Region adaptive scheduling for time-dependent processes with optimal use of machine dynamics [J].
Han, Yanjun ;
Zhu, Wu-Le ;
Zhang, Lei ;
Beaucamp, Anthony .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2020, 156