离轴非球面数控抛光路径的自适应规划

邓伟杰; 郑立功; 史亚莉; 张学军

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离轴非球面数控抛光路径的自适应规划

现代应用光学 | 更新时间：2020-08-12

- 离轴非球面数控抛光路径的自适应规划
- Adaptive programming algorithm for generating polishing tool-path in computer controlled optical surfacing
- 光学精密工程 2009年17卷第1期页码：65-71
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所中国科学院光学系统先进制造技术重点实验室,吉林长春,130033
  2. 中国科学院研究生院,北京 100039
- 作者简介：
- 基金信息：
  
  中国科学院长春光学精密机械与物理研究所三期创新基金资助项目()
- DOI：
  中图分类号： TQ171.6+8
- 收稿日期：2008-03-21，
  
  修回日期：2008-04-28，
  
  网络出版日期：2009-01-25，
  
  纸质出版日期：2009-01-25
- 稿件说明：
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邓伟杰, 郑立功, 史亚莉, 张学军. 离轴非球面数控抛光路径的自适应规划[J]. 光学精密工程, 2009,17(1): 65-71

DENG Wei-jie, ZHENG Li-gong, SHI Ya-li, WANG Xiao-kun, ZHANG Xue-jun. Adaptive programming algorithm for generating polishing tool-path in computer controlled optical surfacing[J]. Editorial Office of Optics and Precision Engineering, 2009,17(1): 65-71
邓伟杰, 郑立功, 史亚莉, 张学军. 离轴非球面数控抛光路径的自适应规划[J]. 光学精密工程, 2009,17(1): 65-71 DOI：

DENG Wei-jie, ZHENG Li-gong, SHI Ya-li, WANG Xiao-kun, ZHANG Xue-jun. Adaptive programming algorithm for generating polishing tool-path in computer controlled optical surfacing[J]. Editorial Office of Optics and Precision Engineering, 2009,17(1): 65-71 DOI：

摘要

根据质点系平衡的加权平均思想

提出了一种新的适用于离轴非球面数控抛光的路径规划方法。根据影响抛光结果的因素

给出了权因子的组成元素及其计算方法

包括常数、加工残差分布以及与工件边缘的距离

并给出了权因子间影响系数的粗略确定方法。对一组面形数据进行虚拟加工

与常规的

X-Y

直角坐标系型加工路径相比

面形均方根收敛率从0.36提高到0.62

其它各项数值的表现也均优于常规方法。最后

对算法中的一些问题做了简要的说明和讨论。这种规划方法原理简单

效果显著

满足实际使用要求。

Abstract

In order to improve the fabrication results of polishing off-axis aspheric in Computer Controlled Optical Surfacing(CCOS)

a novel algorithm named adaptive programming model to generate a polishing tool-path is discussed based on the balance principle of particle system and the thought of averaging power. Considering the factors influencing the polishing results

the power values are composed of three elements including the constants

error distribution and the dwell distance of work-piece edge. The influence coefficients between the power elements are estimated and simply computed. And then

a groups of error data are simulated with actual parameters using the matrix-based algorithm by two different tool-paths. The first one is

X-Y

uniform spacing model in common use

and the other is adaptive programming model. The contrasted results show that most of error results of the adaptive programming model are much better than that of the common one

especially the rms convergence rate is improved from 0.36 to 0.62. In the end

several questions on the algorithm are discussed and explained briefly

result show that the theory of the algorithm is simple and exercisable

and can satisfy the practical requirement as well.

关键词

Keywords

references

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