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Estimation of Roughness of Machined Surface Using Artificial Neural Networks
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Setting appropriate machining parameters can give desired finish of a job. Selection
of such parameters needs time consuming and costly experimentation. In this work,
artificial neural networks (ANN) is used to predict roughness parameters of machined
surface to reduce time and cost involved for the experiments. Surface roughness
parameters assessed through ANN are compared with the observed data and an
accuracy of 95.5% is reported.
of such parameters needs time consuming and costly experimentation. In this work,
artificial neural networks (ANN) is used to predict roughness parameters of machined
surface to reduce time and cost involved for the experiments. Surface roughness
parameters assessed through ANN are compared with the observed data and an
accuracy of 95.5% is reported.
Keywords
Machining; shaping; surface roughness; estimation; ANN; Neural Networks.
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