Investigations into Effect of Cutting Conditions On Surface Roughness Under MQL Turning of AISI 4340 by ANN Models

Enormous usage of cutting fluid in industries is reporting the issues related to health employee, environmental pollution which promotes Minimum Quantity Lubrication (MQL). The study reports surface roughness modelling CNC turning under minimum quantity lubrication EN 24, taking into account effect environment, conditions using artificial neural networks (ANN). optimisation models are processed input-output data sets, ANN model, repetitions training network, rate, hidden nodes and function. analysis with multilayer feed forward structure MATLAB adopted analysis. Finally, After training, tested order evaluate its predictive generalization performances. Testing carried out by applying a new input set, was not included process. well known statistical tools coefficient determination used for this benchmarking. adequacy evaluated considering correlation (R).