Assessment and visualisation of machine tool wear using computer vision

被引：79

作者：

Kerr, D ^{[1
]}

Pengilley, J ^{[1
]}

Garwood, R ^{[1
]}

机构：

[1] Loughborough Univ Technol, Sch Mech & Mfg Engn, Loughborough LE11 3TU, Leics, England

来源：

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2006年 / 28卷 / 7-8期

关键词：

computer vision; image processing; texture measurement; tool wear monitoring;

D O I：

10.1007/s00170-004-2420-0

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Tool wear monitoring is an integral part of modern CNC machine control. Cutting tools must be periodically checked for possible or actual premature failures, and it is necessary to record the cutting history for a tool's full life of utilisation. This means that an on-line monitoring system would be of great benefit to overall process control in manufacturing systems. Computer vision has already shown promise as a candidate technology for this task. In this paper, we describe the use of digital image processing techniques in the analysis of images of worn cutting tools in order to assess their degree of wear and thus remaining useful life. It is shown that a processing strategy using a variety of image texture measures allows for effective visualisation and assessment of tool wear, and indicates good correlation with the expected wear characteristics.

引用

页码：781 / 791

页数：11

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