Aritificial neural network assisted sensor fusion model for predicting tool wear online during hard turning

K. Leo Dev Wins , A. S. Varadharajan, B. Ramamoorthy

Abstract

An attempt was made to use a combination of cutting force and cutting temperature along with cutting velocity and feed rate to predict the tool wear during turning of AISI 4340 steel having a hardness of 46 HRc using a multi coated hard metal insert with a sculptured rack face. An ANN model was developed to fuse the cutting force and cutting temperature signals and to predict flank wear. It was found that the predictions of the ANN model matched well with the experimental results.

Keywords

Tool wear; Hard turning; ANN; Sensor fusion

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IMEKO-TC14-2007-49.pdf

DOI

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IMEKO TC

TC14 - Measurement of Geometrical Quantities

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