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

Remote milling tool-wear monitoring and direct wear features extraction by image processing 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Internet Manufacturing and Services Inderscience Publishers

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

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References (13)

Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1751-6048
eISSN
1751-6056
DOI
10.1504/IJIMS.2008.021197
Publisher site
See Article on Publisher Site

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.

Journal

International Journal of Internet Manufacturing and ServicesInderscience Publishers

Published: Jan 1, 2008

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