Modeling of Power Consumption in Turning of Ferrous and Nonferrous Materials using Artificial Neural Network.
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2013, Vol 4, Issue 3
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 were 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 observations.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.
Authors and Affiliations
Mr. Mangesh R. Phate#1, Dr. V. H. Tatwawadi*2
Keywords
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