Aritificial neural network assisted sensor fusion model for predicting tool wear online during hard turning |
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| 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
- Download:
- IMEKO-TC14-2007-49.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC14
- Event name:
- TC14 ISMQC 2007
- Title:
9th Symposium on Measurement and Quality Control in Manufacturing
- Place:
- Chennai/Madras, INDIA
- Time:
- 21 November 2007 - 24 November 2007