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Monitoring Surface Roughness of Turning by Using Image Processing Technology

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Abstract:

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.

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Periodical:

Materials Science Forum (Volumes 532-533)

Pages:

1164-1167

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.532-533.1164

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Online since:

December 2006

Authors:

Wei Shin Lin, Bean Yin Lee, Hung Hsin Chen

Keywords:

Image Processing, Polynomial Network, Surface Roughness (SR), Threshold Treatment

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© 2006 Trans Tech Publications Ltd. All Rights Reserved

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References

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