Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/47189
Title: Quantitative methods for feature extraction in tool conditioning monitoring
Authors: Ye Nyi Win.
Keywords: DRNTU::Engineering::Mechanical engineering
Issue Date: 2009
Abstract: 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.
Description: 143 p.
URI: http://hdl.handle.net/10356/47189
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Theses

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