Predictive Model for Surface Roughness Using ANN and RSM Approach

P. Suresh(1*), K. Marimuthu(2), S. Ranganathan(3)

(1) Bharathiyar University, India
(2) the Department of Mechanical Engineering at Coimbatore Institute of Technology, Coimbatore, India
(3) Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha University, Chennai, India
(*) Corresponding author

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The application of computer modelling techniques are prevalent usage in scientific research. Artificial neural networks (ANN) and Response surface methodology (RSM) are some of the well established, and prominent in the literature, where computational based approaches are involved. In this work, an artificial neural network and response surface models have been developed, to predict the surface roughness of the machined surface. The experimental results are concurring well with the predicted models.Using these techniques, confirms satisfactory results and hence reducing testing time and cost. Comparatively predicted ANN values have good agreement with the experimental values with lower percentage of error.
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Surface Roughness; Prediction; Artificial Neural Network; Response Surface Methodology

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