Experimental Studies of Accurate Grinding Online Detection Based on Image Analysis

Author

Zhang, Yonghong ; Wang, Lihua ; Tang, Huiqiang ; Ma, Chunxiang ; Hu, Dejin

Author_Institution

Dept. of Inf. & Commun., Nanjing Univ. of Inf. Sci. & Technol.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

5263

Lastpage

5266

Abstract

There are short of detection methods during grinding process at present. In this paper a new online detection method based on pattern recognition was studied. Firstly, the machine vision measurement system was designed according to the characteristics of grinding machining. The work piece or grinding wheel image was sampled at a certain position in order to avoid sparks influences. The factors which influence detection precision were also investigated, and also gave some solving methods. Finally, lots of experiments were done to test the system performance and its precision. From the experiments analysis, the detection precision of the system is less than 2mum. It can meet the detection requirement of accurate grinding

Keywords

computer vision; grinding; object detection; position control; detection precision; grinding machining; grinding wheel image; image analysis; machine vision measurement system; online detection; pattern recognition; Charge coupled devices; Image analysis; Information science; Machine vision; Machining; Pattern recognition; Power engineering; Programmable control; Sparks; Wheels; accurate grinding; detection precision; online detection; pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714073

Filename

1714073