Monitoring Surface Roughness of Turning by Using Image Processing Technology

Abstract:

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This paper is pointed to the turning surface. A surface roughness prediction model is constructed by polynomial network and image processing technology. After threshold treatment, we can get the gray scale central line arithmetic mean value, Gra and the distance between black and white color, Gf. The prediction model is constructed by Gra value, Gf value and cutting condition. By the experimental results, it can be found that the surface roughness prediction model constructed by this study is very accurately. It can be used to on-line surface roughness monitoring for turning.

Info:

Periodical:

Materials Science Forum (Volumes 532-533)

Edited by:

Chengyu Jiang, Geng Liu, Dinghua Zhang and Xipeng Xu

Pages:

1164-1167

DOI:

10.4028/www.scientific.net/MSF.532-533.1164

Citation:

W. S. Lin et al., "Monitoring Surface Roughness of Turning by Using Image Processing Technology", Materials Science Forum, Vols. 532-533, pp. 1164-1167, 2006

Online since:

December 2006

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Price:

$35.00

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