ANN Modeling of Cutting Performances in Spray Cooling Assisted Hard Turning
ANN Modeling of Cutting Performances in Spray Cooling Assisted Hard Turning is a scholarly work, published in 2018 in ''Materials Today : proceedings''. The main subjects of the publication include materials science, chip, tungsten carbide, artificial neural network, mean squared error, correlation coefficient, mechanical engineering, machining, flank, tool wear, computer science, and reduction. Greatest R-Square value (0.9986) and minimum absolute error (VBc =0.9659 % and CRC = 0.3474 %) between experimental and model are found with 3-6-2 architecture when it was trained with 100000 epoch value.