• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Modeling and validation of polishing tool influence functions for manufacturing segments for an extremely large telescope.

作者信息

Li Hongyu, Walker David, Yu Guoyu, Zhang Wei

机构信息

Research Center for Space Optical Engineering, Harbin Institute of Technology, Harbin, China.

出版信息

Appl Opt. 2013 Aug 10;52(23):5781-7. doi: 10.1364/AO.52.005781.

DOI:10.1364/AO.52.005781
PMID:23938432
Abstract

We present a simulation technique to predict tool influence functions (TIFs) based on the Precessions polishing process, which is driven by addressing mass fabrication of the European Extremely Large Telescope mirror segments. Precessions polishing requires accurate and predictable TIFs to optimize the multiple process parameters, particularly when sequential polishing runs are performed by different polishing tools. In this paper, the static and dynamic TIFs are simulated based on the Preston equation. The velocity distribution is calculated according to the geometry of the precession motion. The pressure distribution at the polishing spot is calculated by means of finite element analysis (FEA). The FEA result is validated by direct force measurement with a simulation error of 4.3%. The simulation results of TIFs are verified by an experiment that shows the residual errors are less than 5% for both static and dynamic TIFs.

摘要

相似文献

1
Modeling and validation of polishing tool influence functions for manufacturing segments for an extremely large telescope.
Appl Opt. 2013 Aug 10;52(23):5781-7. doi: 10.1364/AO.52.005781.
2
Edge control in CNC polishing, paper 2: simulation and validation of tool influence functions on edges.
Opt Express. 2013 Jan 14;21(1):370-81. doi: 10.1364/OE.21.000370.
3
Non-sequential optimization technique for a computer controlled optical surfacing process using multiple tool influence functions.一种使用多种刀具影响函数的计算机控制光学表面处理过程的非顺序优化技术。
Opt Express. 2009 Nov 23;17(24):21850-66. doi: 10.1364/OE.17.021850.
4
Modified subaperture tool influence functions of a flat-pitch polisher with reverse-calculated material removal rate.
Appl Opt. 2014 Apr 10;53(11):2455-64. doi: 10.1364/AO.53.002455.
5
Static tool influence function for fabrication simulation of hexagonal mirror segments for extremely large telescopes.
Opt Express. 2005 Feb 7;13(3):910-7. doi: 10.1364/opex.13.000910.
6
Investigation of contact pressure and influence function model for soft wheel polishing.
Appl Opt. 2015 Sep 20;54(27):8091-9. doi: 10.1364/AO.54.008091.
7
Edge effect modeling and experiments on active lap processing.
Opt Express. 2014 May 5;22(9):10761-74. doi: 10.1364/OE.22.010761.
8
Modeling of edge effect in subaperture tool influence functions of computer controlled optical surfacing.
Appl Opt. 2016 Dec 20;55(36):10223-10228. doi: 10.1364/AO.55.010223.
9
Influence and control of spherical aberration in polishing off-axis aspherical mirrors by the stressed method.
Appl Opt. 2015 Jan 10;54(2):291-8. doi: 10.1364/AO.54.000291.
10
Statistical perception of the chaotic fabrication error and the self-adaptive processing decision in ultra-precision optical polishing.超精密光学抛光中混沌制造误差的统计感知与自适应处理决策
Opt Express. 2023 Feb 27;31(5):7707-7724. doi: 10.1364/OE.484309.

引用本文的文献

1
Effect of parameters on surface roughness during the ultra-precision polishing of titanium alloy.参数对钛合金超精密抛光表面粗糙度的影响。
PLoS One. 2022 Aug 1;17(8):e0272387. doi: 10.1371/journal.pone.0272387. eCollection 2022.