Current-sensor-based feed cutting force intelligent estimation andtool wear condition monitoring
Li, X.
Djordjevich, A.
Venuvinod, P.K.
Inst. of Precision Eng., Harbin Inst. of Technol. ;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Jun 2000
Volume: 47,
Issue: 3
On page(s): 697-702
ISSN: 0278-0046
References Cited: 8
CODEN: ITIED6
INSPEC Accession Number: 6624318
Digital Object Identifier: 10.1109/41.847910
Current Version Published: 2002-08-06
Abstract
Tool wear condition monitoring has the potential to play a
critical role in ensuring the dimensional accuracy of the workpiece and
prevention of damage to cutting equipment. It could also help in
automating cutting processes. In this paper, the feed cutting force
estimated with the aid of an inexpensive current sensor installed on the
AC servomotor of a computerized numerical control tuning center is used
to monitor tool wear condition. To achieve this, the feed drive system
is modeled, using neuro-fuzzy techniques, to provide the framework for
estimating the feed cutting force based on the feed motor current
measured. Functional dependence of the feed cutting force on tool wear
and cutting parameters are then expressed in the form of a difference
equation relating variation in the feed cutting force to tool wear rate.
The computerized system automatically compares successive feed cutting
force estimates and determines the onset of accelerated tool wear in
order to issue a request for tool replacement. Experimental results show
that the tool wear condition monitoring is effective and industrially
applicable
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