Quantitative methods for feature extraction in tool conditioning monitoring

143 p.

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Bibliographic Details
Main Author: Ye Nyi Win.
Other Authors: Zhong Zhaowei
Format: Theses and Dissertations
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/47189
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-471892023-03-11T17:16:06Z Quantitative methods for feature extraction in tool conditioning monitoring Ye Nyi Win. Zhong Zhaowei School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering 143 p. The tool condition monitoring and process monitoring become major development in automatic manufacturing environment. A High speed milling machine plays a major role in industrial applications. The methods to monitor the health of the milling machine cutter are discussed in this dissertation. Tool wear and tool failure are not acceptable in the milling operation because these can have great effect on product quality, production time and production cost. The aim of the dissertation is to develop the idea of the nondestructive testing in the milling process by acoustic emission signal and force signal. Among the different types of nondestructive methods, some of the methods are analyzed and discussed for their effectiveness and usefulness in industrial applications. Master of Science (Logistics) 2011-12-27T06:34:15Z 2011-12-27T06:34:15Z 2009 2009 Thesis http://hdl.handle.net/10356/47189 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Mechanical engineering
spellingShingle DRNTU::Engineering::Mechanical engineering
Ye Nyi Win.
Quantitative methods for feature extraction in tool conditioning monitoring
description 143 p.
author2 Zhong Zhaowei
author_facet Zhong Zhaowei
Ye Nyi Win.
format Theses and Dissertations
author Ye Nyi Win.
author_sort Ye Nyi Win.
title Quantitative methods for feature extraction in tool conditioning monitoring
title_short Quantitative methods for feature extraction in tool conditioning monitoring
title_full Quantitative methods for feature extraction in tool conditioning monitoring
title_fullStr Quantitative methods for feature extraction in tool conditioning monitoring
title_full_unstemmed Quantitative methods for feature extraction in tool conditioning monitoring
title_sort quantitative methods for feature extraction in tool conditioning monitoring
publishDate 2011
url http://hdl.handle.net/10356/47189
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