Optimization of parameters for bonnet polishing based on the minimum residual error method

被引:15
作者
Wang, Chunjin [1 ,2 ]
Yang, Wei [1 ]
Ye, Shiwei [1 ]
Wang, Zhenzhong [1 ]
Zhong, Bo [3 ]
Guo, Yinbiao [1 ]
Xu, Qiao [2 ]
机构
[1] Xiamen Univ, Dept Mech & Elect Engn, Xiamen 361005, Peoples R China
[2] China Acad Engn Phys, Res Ctr Laser Fus, Mianyang 621900, Peoples R China
[3] Fine Opt Engn Res Ctr, Chengdu 610041, Peoples R China
关键词
bonnet polishing; medium-high frequency error; minimum residual error; optimization; TOOL INFLUENCE FUNCTIONS; MIRROR-SEGMENTS; SIMULATION; VALIDATION; ALGORITHM; OPTICS;
D O I
10.1117/1.OE.53.7.075108
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
For extremely high accuracy optical elements, the residual error induced by the superposition of the tool influence function cannot be ignored and leads to medium-high frequency errors. Even though the continuous computer-controlled optical surfacing process is better than the discrete one, which can decrease this error to a certain degree, the error still exists in scanning directions when adopting the raster path. The purpose of this paper is to optimize the parameters used in bonnet polishing to restrain this error. The formation of this error was theoretically demonstrated and will also be further experimentally presented using our newly designed prototype. Orthogonal simulation experiments were designed for the following five major operating parameters (some of them are normalized) at four levels: inner pressure, z offset, raster distance, H-axis speed, and precession angle. The minimum residual error method was used to evaluate the simulations. The results showed the impact of the evaluated parameters on the residual error. The parameters in descending order of impact are as follows: raster distance, z offset, inner pressure, H-axis speed, and precession angle. An optimal combination of these five parameters among the four levels considered, based on the minimum residual error method, was determined. (c) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
引用
收藏
页数:9
相关论文
共 34 条
[1]  
ALLEN LN, 1995, P SOC PHOTO-OPT INS, V2428, P237, DOI 10.1117/12.213776
[2]   Finishing of optical moulds to λ/20 by automated corrective polishing [J].
Beaucamp, A. ;
Namba, Y. ;
Inasaki, I. ;
Combrinck, H. ;
Freeman, R. .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2011, 60 (01) :375-378
[3]   A novel automated process for aspheric surfaces [J].
Bingham, RG ;
Walker, DD ;
Kim, DH ;
Brooks, D ;
Freeman, R ;
Riley, D .
CURRENT DEVELOPMENTS IN LENS DESIGN AND OPTICAL SYSTEMS ENGINEERING, 2000, 4093 :445-450
[4]   Nanometer deep shaping with fluid jet polishing [J].
Booij, SM ;
van Brug, H ;
Braat, JJM ;
Fähnle, OW .
OPTICAL ENGINEERING, 2002, 41 (08) :1926-1931
[5]   Modelling and simulation of structure surface generation using computer controlled ultra-precision polishing [J].
Cheung, C. F. ;
Kong, L. B. ;
Ho, L. T. ;
To, S. .
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2011, 35 (04) :574-590
[6]   Fluid jet polishing of optical surfaces [J].
Fahnle, OW ;
van Brug, H ;
Frankena, HJ .
APPLIED OPTICS, 1998, 37 (28) :6771-6773
[7]   Dwell function algorithm in fluid jet polishing [J].
Fang, Hui ;
Guo, Peiji ;
Yu, Jingchi .
APPLIED OPTICS, 2006, 45 (18) :4291-4296
[8]   Magnetorheological finishing (MRF) in commercial precision optics manufacturing [J].
Golini, D ;
Kordonski, WI ;
Dumas, P ;
Hogan, S .
OPTICAL MANUFACTURING AND TESTING III, 1999, 3782 :80-91
[9]  
HALL PR, 1990, PROC SPIE, V1320, P384, DOI 10.1117/12.22344
[10]  
JONES RA, 1982, P SOC PHOTO-OPT INST, V332, P352