A REVIEW "EFFECTS OF CUTTING PARAMETERS ON CUTTING FORCES AND FLANK WEAR IN HARD TURNING OF ALLOY STEEL AND PREDICTION BYARTIFICIAL NEURAL NETWORK

Rohitkumar B.Patel; Vallabh D. Patel

Volume : V, Issue : II, February - 2015

A REVIEW "EFFECTS OF CUTTING PARAMETERS ON CUTTING FORCES AND FLANK WEAR IN HARD TURNING OF ALLOY STEEL AND PREDICTION BYARTIFICIAL NEURAL NETWORK

Rohitkumar B. Patel, Vallabh D. Patel

Abstract :

This paper describes a review of basic terms and visualizations of the major components of the hard turning cutting parameter in process. The parameters like cutting speed, depth of cut and feed rate are taken into account so as to predict their effects on cutting tool forces and flank wear. Hard turning can produce as good or better surface finish at significantly higher material removal rates without using coolant or special tooling. High accuracy achieved by hard turning. This process has been developed as an alternative to the grinding process in a bid to reduce the number of setup changes, product cost and lead time without compromising on surface quality to maintain competitiveness. Artificial neural network (ANN) approach is an accurate and powerful tool for machining process modeling. ANN approach permits to save much time and money generally spent in experiments. A large amount of works have been carried out on forces modeling which have shown that ANN approach is more accurate and faster than many other analytical and numerical cutting force modeling methods.