Abstract
This study proposes two path generation algorithms to diminish the superposition of the convolution effect on the polishing path in computer-controlled optical surfacing. According to the polishing of aluminum-alloy based hyperboloid optical components, different proportions of polishing agents were blended. Then, the surface roughness of the optical components were determined through a validation experiment of the algorithms. Furthermore, the relationship between surface roughness and the polishing agent concentration, and the compensation strategies for surface roughness were analyzed. The results show that the two algorithms effectively compensated for surface waviness. The findings support the strategies for improving the surface quality of optical components with aspherical surfaces.
Highlights
With the advancement of research in the fields of high-energy physics and microscopic observation [1], the demand for optical components with aspherical surfaces, which provide customizable designs with excellent performance, as compared to all-spherical solutions, is increasing [2]
Generation Mechanism of Surface Waviness Error In computer-controlled optical surfacing (CCOS), machine waviness is generated on aspherical surfaces, which is known as the surface waviness error
The polishing agent: (a) (a) before changing thethe polishing agent; (b)(b) after changing thethe polishing agent. This investigated the methods for improving the surface of optical components
Summary
With the advancement of research in the fields of high-energy physics and microscopic observation [1], the demand for optical components with aspherical surfaces, which provide customizable designs with excellent performance, as compared to all-spherical solutions, is increasing [2]. Dunn et al [22] used Pseudo-random tool paths and achieved an obvious improvement in the performance of a bonnet-polishing machine. Wang et al proposed a unicursal random maze tool path algorithm and verified the effectiveness of restraining the mid-spatial frequency error, in comparison to the Hilbert path [24]. The planning of the tool path is beneficial for minimizing dimensional errors [27], which determine the focusing properties and optical transfer function of optical components that directly affect the surface profile. To compensate for the surface profile errors in the middle spatial frequency range, a special polishing path is often designed with two requirements: (1) to avoid the negative effects of the compensation in the low frequency range, and (2) to ensure the surface quality consistency of the whole polished surface. The proposed path direction changing algorithm and path interval changing algorithm possess the characteristics of resolving the surface waviness caused by the existence of the large parallel path and convolution effects between path intervals, respectively
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