Automatic drill wear measurement using colour image processing and artificial neural network

被引：0
|
作者：
Bopp, U [1 ]
Sajima, T [1 ]
Onikura, H [1 ]
机构：
[1] Kyushu Univ, Fac Engn, Higashi Ku, Fukuoka 81281, Japan
来源：
INTERNATIONAL JOURNAL OF THE JAPAN SOCIETY FOR PRECISION ENGINEERING | 1997年 / 31卷 / 04期
关键词：
drill wear; corner wear measurement; drill life; colour image processing; artificial neural network;
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
The corner wear of drills is measured automatically in order to predict end of drill life, using hole quality as criterion. Drilling experiments show a strong correlation between the progress of maximum hole diameter and hole surface roughness R-a over drill life. The proposed measurement system uses colour image processing and an artificial neural network. It can detect the corner wear of a drill accurately and predict the surface roughness R-a of the hole to be drilled with mean and maximum errors of 0.32 mu m and -1.00 mu m, respectively. The presence of a built-up edge does not influence the measurement results.
引用
收藏
页码：287 / 292
页数：6
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