Prediction of Power Requirement in Turning using a GA-Fuzzy Approach

Abstract

Empirical expressions had been developed by various investigators, in the past, to determine input-output relationships in turning. In the present work, power requirement in turning is expressed as a function of three inputs, namely cutting speed, feed and depth of cut and this process is modelled using a combined GA-Fuzzy approach. An optimized knowledge base (KB) of the fuzzy logic controller (FLC) which is the representative of the KB of a Lathe is obtained, off-line, using a genetic algorithm (GA). Thus, power requirement in turning can be predicted using the FLC for a particular set of input parameters before carrying out real experiment.