An adaptive bonnet polishing approach based on dual-mode contact depth TIF

Abstract

The industrial robot bonnet polishing platform can not only meet the requirements of high efficiency and precision of optical polishing, but also reduce the system cost. It is a promising polishing equipment solution. The most practical method to improve BP material removal efficiency is to increase the contact depth. It is generally believed that the profile of the TIF of BP is Gaussian like distribution traditionally, but it is found that it actually changes into Mshape obviously with large contact depth. However, the existing reports on the TIF of bonnet polishing are mostly based on the Gaussian like TIF model which cannot accurately describe the M-shaped TIF. Therefore, according to the material characteristics of inflatable rubber bonnet, this paper establishes a new model to explain the changes of pressure distribution caused by large contact depth. Furthermore, a bonnet polishing approach based on dual-mode contact depth TIFs is proposed in order to improve the removal efficiency in rough polishing stage and increase the convergence accuracy in fine polishing stage.

Research on the Influence of the Material Removal Profile of a Spherical Polishing Tool on the Mid-Spatial Frequency Errors of Optical Surfaces

“…Although ample research has been conducted on the suppression of MSF errors during the sub-aperture polishing of optical components, the primary focus has been on optimizing the polishing path or improving the smoothing ripple performance of small pads to mitigate MSF errors, and little attention has been paid to the influence of the material removal characteristics of the polishing tool itself on the MSF error. Furthermore, some scholars have investigated the effect of different process parameters on the profile of the tool influence function (TIF) and analyzed the convergence efficiency of the TIF with different cross-section profile shapes to surface forms, but did not discuss its effect on the MSF error [26][27][28]. Therefore, this paper analyzes the formation mechanism of MSF error based on the convolution effect of material removal.…”