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面向机加工表面粗糙度的光切显微视觉测量系统

金守峰 陈蓉 范荻 田明锐

西安工程大学学报2016,Vol.30Issue(3):347-353,7.
西安工程大学学报2016,Vol.30Issue(3):347-353,7.DOI:10.13338/j.issn.1674-649x.2016.03.013

面向机加工表面粗糙度的光切显微视觉测量系统

Optical cutting microvision measurement system for machining surface roughness

金守峰 1陈蓉 1范荻 1田明锐2

作者信息

  • 1. 西安工程大学 机电工程学院,陕西 西安 710048
  • 2. 长安大学 高速公路施工机械陕西省重点实验室,陕西 西安 710064
  • 折叠

摘要

Abstract

In order to solve the problem of light cutting microscope′s low measurement accuracy and poor efficiency of the machining surface,the vision measurement system over the surface roughness of light cutting microscope is developed based on the theory of light cutting measurement.A visual sensor is used to get the micro profile images of the machining surface,then the contour sub pixel edge detec-tion algorithm is proposed based on the Zernike moments,and a model which combines the maximum between class variance method and the traditional Zernike moments is established,and the positioning accuracy of the contour sub pixel edge is improved.The adoption of the least square fitting method de-termines the contour datum line.According to the national standard of surface roughness,the mathe-matical model of the arithmetical mean deviation of the profile Ra is established,achieving the ma-chined surface roughness measurement.Test results show that when the surface machining accuracy a-chieves level 7 to 10,the relative error of the measured surface roughness is no more than 5%,the al-gorithm takes about 15ms.The measurement system is accurate,and it improves the efficiency of the measurement.

关键词

表面粗糙度/光切显微镜/Zernike 矩/亚像素/最小二乘中线

Key words

surface roughness/light-section microscope/the Zernike moment/sub pixel/least squares line

分类

信息技术与安全科学

引用本文复制引用

金守峰,陈蓉,范荻,田明锐..面向机加工表面粗糙度的光切显微视觉测量系统[J].西安工程大学学报,2016,30(3):347-353,7.

基金项目

高速公路施工机械陕西省重点实验室开放基金(310825161123) (310825161123)

西安工程大学教学改革项目(2014JG06) (2014JG06)

西安工程大学学报

1674-649X

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