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Remote milling tool-wear monitoring and direct wear features extraction by image processing

Hussain, Shahnawaz and Chen, Xun (2008) Remote milling tool-wear monitoring and direct wear features extraction by image processing. International Journal of Internet Manufacturing and Services, 1 (3). pp. 246-261. ISSN 1751-6048

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Abstract

The extraction of accurate and correct feature parameters, which describe the useful cutting life of a milling cutter, is important for remote process monitoring. The main parameters extracted and analysed are the highest and the average flank length of the wear land depth as well as the area within the wear land. The problems with the internet speed and bandwidth are overcome by only uploading specific wear-land features the resulting file size is adequate for internet monitoring. This paper outlines a methodology for automatically extracting useful direct tool-wear parameters remotely via the internet for tool wear decision-making.

Item Type: Article
Subjects: T Technology > T Technology (General)
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: Cherry Edmunds
Date Deposited: 28 May 2009 16:16
Last Modified: 10 Dec 2010 09:47
URI: http://eprints.hud.ac.uk/id/eprint/4555

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