Sparse bi-step raster path for suppressing the mid-spatial-frequency error by fluid jet polishing

Author:

Wan Kuiping12,Wan Songlin23ORCID,Jiang Chen1,Wei Chaoyang23,Shao Jianda23

Affiliation:

1. University of Shanghai for Science and Technology

2. Shanghai Institute of Optics and Fine Mechanics

3. University of Chinese Academy of Sciences

Abstract

The periodic ripple errors (mid-spatial-frequency (MSF) error) produced by computer-controlled sub-aperture polishing severely limit the improvement of high-performance optical systems. At the same time, the fluid jet polishing (FJP) method is non-destructive and non-contact, but it is still hard to widely use it due to the defect of small spot-size and low efficiency. In this paper, we found that FJP has a significant advantage in removing the residual periodic ripples in sub-aperture polishing. The mathematical model developed by complex spectrum optimization verifies the existence of the sparse “bi-step raster path” (BSRP), which can achieve efficient periodic ripple error removal by suppressing the first two-order peaks of the error spectrum. In the experiments, it was observed that the MSF error has been significantly reduced after BSRP processing while the surface form and surface roughness have not been deteriorated, which demonstrates the validity of the proposed method. The proposal of the BSRP provides a new approach for the application of FJP and the suppression of the MSF error.

Funder

Outstanding Member of Youth Innovation Promotion Association of the Chinese Academy of Sciences

Development Project of Scientific Instruments and Equipment of the Chinese Academy of Sciences

Key projects of the Joint Fund for Astronomy of National Natural Science Funding of China

Natural Science Foundation of Shanghai

Shanghai Sailing Program

Publisher

Optica Publishing Group

Subject

Atomic and Molecular Physics, and Optics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3