A NEURAL NETWORK PREDICTION MODEL FOR SURFACEFINISH IN TURNING PROCESS
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Abstract
This paper presents a neural network based surface finish Prediction model in turning operation .
Orthogonal cutting tests were performed on mild steel using H.S.S cutting tool with different
cutting parameters cutting speed ,
feed and nose radius of the cutting tool . The collected data was
used to train feed forward back propagation neural network. The developed model has been tested
to preclict surface finish for various cutting conditions. The model was found to be powerful &
capable of accurate surface finish prediction for the range it had been trained but the accuracy
deteriorated as the cutting conditions were changed significantly'
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References
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