Paper Title:
Detection of Grinding Surface’s Quality Based on Image Technique
  Abstract

Aiming at different grinding surfaces of hardened bearing steel GCr15, this paper made experimental research on detection method of surface roughness based on image technique. Adopting cold light source and five kinds of LED light sources, such as low-angle light, collimated light and coaxial light, we analyzed image characteristics of grinding surface under different processing conditions and found that there was a good correlation between standard deviation of gray variance and roughness of grinding surface. In comparison with the results from traditional surface roughness measuring instrument, we gained the corresponding relation between different grinding surface roughness and standard deviation of image gray variance. It was proved by calculating that they have a good correlativity.

  Info
Periodical
Key Engineering Materials (Volumes 359-360)
Edited by
Jiuhua Xu, Xipeng Xu, Guangqi Cai and Renke Kang
Pages
499-503
DOI
10.4028/www.scientific.net/KEM.359-360.499
Citation
X. L. Liu, C. Y. Wu, Y. Z. Liu, F. G. Yan, Y. F. Li, P. Wang, "Detection of Grinding Surface’s Quality Based on Image Technique", Key Engineering Materials, Vols. 359-360, pp. 499-503, 2008
Online since
November 2007
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Price
$32.00
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