Paper Info
Title
Comparing orthogonal force and unidirectional strain component processing for tool condition monitoring
Abstract
Signal processing using orthogonal cutting force components for tool condition monitoring has established itself in literature. In the application of single axis strain sensors however a linear combination of cutting force components has to be processed in order to monitor tool wear. This situation may arise when a single axis piezoelectric actuator is simultaneously used as an actuator and a sensor, e.g. its vibration control feedback signal exploited for monitoring purposes. The current paper therefore compares processing of a linear combination of cutting force components to the reference case of processing orthogonal components. Reconstruction of the dynamic force acting at the tool tip from signals obtained during measurements using a strain gauge instrumented tool holder in a turning process is described. An application of this dynamic force signal was simulated on a filter-model of that tool holder that would carry a self-sensing actuator. For comparison of the orthogonal and unidirectional force component tool wear monitoring strategies the same time-delay neural network structure has been applied. Wear-sensitive features are determined by wavelet packet analysis to provide information for tool wear estimation. The probability of a difference less than 5 percentage points between the flank wear estimation errors of above mentioned two processing strategies is at least 95 %. This suggests the viability of simultaneous monitoring and control by using a self-sensing actuator.
Year
DOI
Venue
2014
10.1007/s10845-012-0698-6
Journal of Intelligent Manufacturing
Keywords
DocType
Volume
Tool wear-monitoring,Self-sensing actuator,Structure dynamic modelling,Neural network,Wavelet packet analysis
Journal
25
Issue
ISSN
Citations 
3
0956-5515
2
PageRank 
References 
Authors
0.39
6
3
Name
Order
Citations
PageRank
Burkhard H. Freyer1131.23
P. Stephan Heyns2253.07
Nico J. Theron3131.23