Neural network design
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Minimum quantity lubrication (MQL) has been used as an alternative to conventional wet processing in machining process due to many advantages such as increasing in tool life, improvement of productivity and elimination of the dangerous to the operator health. The main goal of this study is to design an artificial neural network to predict and analyze the performance of drilling of aluminium alloy with MQL Three neural networks with 3-inputs and 1-output have been developed based on experimental results. Results show that the developed models have acceptable ability to predict the performance of drilling process as well.