Study on the influence of MQL and cutting conditions on machinability of brass using Artificial Neural Network
by V.N. Gaitonde, S.R. Karnik, J. Paulo Davim
International Journal of Materials and Product Technology (IJMPT), Vol. 37, No. 1/2, 2010

Abstract: The Minimum Quantity of Lubrication (MQL) in machining is an alternative to dry or flood lubricating system. In the current study, an Artificial Neural Network (ANN) has been employed to analyse the effects of cutting speed, feed rate and MQL on specific cutting force and surface roughness in turning of brass. The research suggests a combination of MQL in medium to high range, higher feed rate with cutting speed in medium range is necessary to minimise specific cutting force. On the other hand, lower values of feed rate and cutting speed with high MQL is essential for minimising surface roughness.

Online publication date: Mon, 30-Nov-2009

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