Monitoring surface roughness of turning by using image processing technology

被引：0
|
作者：
Lin, Wei-Shin
Lee, Bean-Yin
Chen, Hung-Hsin
机构：
来源：
Advances in Materials Manufacturing Science and Technology II | 2006年 / 532-533卷
关键词：
image processing; threshold treatment; polynomial network; surface roughness;
D O I：
10.4028/www.scientific.net/MSF.532-533.1164
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：1164 / 1167
页数：4
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