NDLI: Current Signal Based Continuous On-line Tool Condition Estimation in Face Milling

Content Provider	IEEE Xplore Digital Library
Author	Bhattacharyya, P. Sengupta, D. Mukhopadhyay, S. Chattopadhyay, A.B.
Copyright Year	2006
Description	Author affiliation: A.S.U, Kolkata (Bhattacharyya, P.; Sengupta, D.)
Abstract	In this paper, an online method for estimation of flank wear of cutting tool based on the measurement of spindle motor current is proposed for the face milling operation. Sensors for this signal are easier to install and maintain and are also significantly inexpensive compared to those for the cutting forces, the vibration and the acoustic emission signals. A novel combination of signal processing strategies, such as line frequency estimation, demodulation, segmentation and exponential smoothing is proposed for on-line computation of appropriate features from the measured signals. Multiple Linear Regression model, formulated in terms of the training features, is then used to estimate tool wear. The developed model is validated on testing feature set for its predicting abilities. From analysis of the experimental data, it is seen that the proposed method compares favorably with those using measurements of cutting forces and Artificial Neural Networks. Finally, probabilistic worst case prediction limits of tool wear are presented.
Starting Page	86
Ending Page	91
File Size	4314053
Page Count	6
File Format	PDF
ISBN	1424407257
DOI	10.1109/ICIT.2006.372237
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-15
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Milling Acoustic measurements Cutting tools Current measurement Acoustic sensors Acoustic emission Acoustic signal processing Frequency estimation Demodulation Smoothing methods Intelligent machining Tool condition monitoring Tool wear
Content Type	Text
Resource Type	Article

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