Development of Model for High Speed Milling using Neural Networks

High-speed milling is one of fast emerging cutting processes in the country now. It has brought tremendous revolution, especially in machining tough, hard and difficult to machine alloys. It has provided solutions for machining light, temperature sensitive and thin-walled cross-section of critical precision aerospace components for use in wave guides, pressure transducers and antenna systems etc. It has high potential for increased metal removal rates, high surface finish, excellent dimensional accuracy, burr-free edges and producing stress free components. The performance of high speed machining is controlled by several parameters like cutting speed, feed, depth of cut, cutting temperature, cutting tool materials, geometry of cutting tool, cutting power and workpiece condition.