Restraint of tool path ripple based on the optimization of tool step size for sub-aperture deterministic polishing

Tool path ripple error (TPR_error) is one of the main reasons due to the medium-high spatial frequency error on the surface of aspheric optics. The purpose of this paper is to analyze the effect of the tool step size to the TPR_error in sub-aperture deterministic polishing (SDP) and study a method which can optimize the tool step size to restrain this error. Three groups of simulation experiments were conducted using three different tool influence functions to simulate the uniform removal of the material. As the TPR_error is influenced by three factors, which are full width at half maximum (FWHM) of tool influence function (TIF), tool step size, and depth of material removed, each group of the experiments was conducted under the fixed TIF and depth of material removed. It turns out that both peak-to-valley (PV) and root-mean-square (RMS) values of the TPR_error become larger with the increase of the tool step size, and the variation tendency likes a reversed “L” shape curve. And, the method adopted in the simulation was further validated by the experiment. Therefore, the tool step size at the inflection point would be optimal to restrain the TPR_error together with saving the polishing time to a certain extent. This method could be used to determine the best-suited tool step size in SDP whose typical TIF is a Gaussian or Gaussian-like shape.

[1]  Lynn N. Allen,et al.  Demonstration of an ion-figuring process , 1990, Optics & Photonics.

[2]  Ci Song,et al.  Model and algorithm based on accurate realization of dwell time in magnetorheological finishing. , 2010, Applied optics.

[3]  Fang-Jung Shiou,et al.  Surface finish of bulk metallic glass using sequential abrasive jet polishing and annealing processes , 2013 .

[4]  Xuhui Xie,et al.  Algorithm for ion beam figuring of low-gradient mirrors , 2009 .

[5]  Shengyi Li,et al.  Optimization and application of influence function in abrasive jet polishing. , 2010, Applied optics.

[6]  Jianming Zhan Study on the manufacturing process controlling for aspheric surface ballonet polishing , 2013 .

[7]  David D. Walker,et al.  Precessions process for efficient production of aspheric optics for large telescopes and their instrumentation , 2003, SPIE Astronomical Telescopes + Instrumentation.

[8]  David Walker,et al.  Removal of mid spatial-frequency features in mirror segments , 2011 .

[9]  David D Walker,et al.  Pseudo-random tool paths for CNC sub-aperture polishing and other applications. , 2008, Optics express.

[10]  Xiaoqiang Peng,et al.  Restraint of tool path ripple based on surface error distribution and process parameters in deterministic finishing. , 2010, Optics express.

[11]  W. Kordonski,et al.  Material removal in magnetorheological finishing of optics. , 2011, Applied optics.

[12]  Mark A. Henesian,et al.  NIF optical specifications: the importance of the RMS gradient , 1998, Other Conferences.

[13]  Wei Zhang,et al.  Study of weighted space deconvolution algorithm in computer controlled optical surfacing formation , 2009 .

[14]  B. Yan,et al.  Two-dimensional vibration-assisted magnetic abrasive finishing of stainless steel SUS304 , 2013 .

[15]  Sug-Whan Kim,et al.  The 'Precessions' tooling for polishing and figuring flat, spherical and aspheric surfaces. , 2003, Optics express.

[16]  Jung-Chou Hung,et al.  An investigation into superficial embedment in mirror-like machining using abrasive jet polishing , 2009 .

[17]  Rolf Rascher,et al.  Utilisation of time-variant influence functions in the computer controlled polishing , 2008 .

[18]  Peter R. Hall Role of asphericity in optical design , 1990, Other Conferences.

[19]  Xiaoqiang Peng,et al.  Restraint of mid-spatial frequency error in magneto-rheological finishing (MRF) process by maximum entropy method , 2009 .

[20]  Hui Fang,et al.  Dwell function algorithm in fluid jet polishing. , 2006, Applied optics.

[21]  H. Frankena,et al.  Fluid jet polishing of optical surfaces. , 1998, Applied optics.

[22]  R. Edward English,et al.  Power spectral density specifications for high-power laser systems , 1996, Optical Systems Design.

[23]  Anthony Beaucamp,et al.  Use of the 'Precessions' process for prepolishing and correcting 2D & 2(1/2)D form. , 2006, Optics express.

[24]  Yinbiao Guo,et al.  Modeling of the static tool influence function of bonnet polishing based on FEA , 2014 .

[25]  Tai Sheng Wang,et al.  Dwell time algorithm in ion beam figuring. , 2009, Applied optics.

[26]  Rodolfo Canestrari,et al.  Correction of high spatial frequency errors on optical surfaces by means of ion beam figuring , 2007, SPIE Optical Engineering + Applications.

[27]  Stephen D. Jacobs,et al.  Magnetorheological-suspension-based finishing technology , 1998, Smart Structures.

[28]  R. A. Jones Optimization of computer controlled polishing. , 1977, Applied optics.

[29]  Yinbiao Guo,et al.  Effect analysis of the residual error evaluation method used in bonnet polishing process for aspheric lens , 2013 .