PHYSICAL VAPOUR DEPOSITION COATED TOOL WEAR PREDICTION IN DRILLING NIMONIC 263-C USING ARTIFICIAL NEURAL NETWORK

摘要

© 2022, Scibulcom Ltd.. All rights reserved.The tool wear predictions in drilling of nickel based super alloys is performed using artificial neural networks on MATLAB software. The drilling operations have been performed using a Physical vapour deposition coated tool on a CNC vertical milling machine. The cutting speed, feed rate, and surface roughness have been as input to the artificial neural network and the tool wear is taken as the output. The experimental results and the predicted results from the artificial neural networks are found out to be measured in R2 and in mean squared error.