Please use this identifier to cite or link to this item:
Title: Model-based Tool Condition Monitoring for Ball-nose End Milling
Keywords: ball-nose end milling, sculptured surface machining, feature extraction, feature selection, tool condition monitoring, tool wear estimation
Issue Date: 14-Aug-2012
Citation: HUANG SHENG (2012-08-14). Model-based Tool Condition Monitoring for Ball-nose End Milling. ScholarBank@NUS Repository.
Abstract: The primary aim of this study is to investigate model-based tool condition monitoring methods for ball-nose end milling targeting for sculptured surface machining applications. The approach is based on a proposed tool wear modelling framework comprising of three parts: cutting force simulation, discrete wavelet analysis of cutting force sensor signal, and feature-based tool wear estimation model. In sculptured surface machining, the cutting engagement is not fixed. Most reported or conventional tool condition monitoring methods are based on thresholds or features derived from sensor signals captured from end milling with constant cutting engagement, which are therefore not suitable to be used directly for monitoring sculptured surface machining. There is a potential to apply the conventional tool condition monitoring methods in sculptured surface machining by accounting for the varying cutting engagement through the use of developed machining models. The experimental results showed that the model-based approach is feasible and effective.
Appears in Collections:Ph.D Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
HuangS.pdf1.59 MBAdobe PDF



Page view(s)

checked on Oct 20, 2018


checked on Oct 20, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.