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Image processing of grinding wheel surface

Feng, Zhengming and Chen, Xun (2007) Image processing of grinding wheel surface. International Journal of Advanced Manufacturing Technology, 32 (1-2). pp. 27-33. ISSN 0268-3768

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Abstract

Identifying the situation of grinding wheel wear and loading is a very important issue for high efficiency grinding operations. This paper presents a new method that detects and identifies the chip loading and cutting edge wear of a grinding wheel using the image processing toolbox of MATLAB. The different optical characters of the metal chips and the abrasive grains are analysed. The Sobel operator is adopted to make edge detection. A sensitivity threshold based on the global condition is used to decrease the noise. Image dilation and erosion processes are used to ensure the edge of each loaded chip is covered by a continuous section. The ratios of chips are calculated and displayed to monitor the wheel surface working status.

Item Type: Article
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TA Engineering (General). Civil engineering (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > Centre for Precision Technologies
School of Computing and Engineering > Centre for Precision Technologies > Advanced Machining Technology Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Informatics Research Group
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Depositing User: Graham Stone
Date Deposited: 29 Apr 2009 16:17
Last Modified: 10 Dec 2010 10:01
URI: http://eprints.hud.ac.uk/id/eprint/4108

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