Modeling of Power Consumption in Turning of Ferrous and Nonferrous Materials using Artificial Neural Network
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2013 by IJETT Journal | ||
| Volume-4 Issue-3 |
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| Year of Publication : 2013 | ||
| Authors : Mr. Mangesh R.Phate , Dr. V.H.Tatwawadi |
Citation
Mr. Mangesh R.Phate , Dr. V.H.Tatwawadi. "Modeling of Power Consumption in Turning of Ferrous and Nonferrous Materials using Artificial Neural Network". International Journal of Engineering Trends and Technology (IJETT). V4(3):236-241 Mar 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Development of artificial neural network (ANN) for prediction of power consumption in the turning of ferrous and nonferrous materials has been the subject of the present paper. ANN was trained through field data obtained on the basis of random plan of experimentation. Various influential machining field parameters wer e taken into consideration. The inputs were machine operator, work piece, cutting tool, cutting process parameters, machine specification and the machining field environmental parameters while the output was power consumed during the machining of ferrous and nonferrous materials. It was illustrated that a multilayer perception neural network could efficiently model the power consumption as the response of the network, with a minimum error. The performance of the trained network was verified by further obs ervations. 6 - 5 - 1 topology has been used for getting simulated result. The results of ANN were compared with the results of conventional turning (CT) observations.
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Keywords
Artificial Neural Network, Mathematical Model, Turning Process , ferrous and nonferr ous material & convectional machining .