Experimental modelling and optimization of turning medium carbon steel

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Abstract
Mathematical models are developed for some machining dependent variables, namely, surface roughness, tool vibration, power consumption and cutting time when turning medium carbon steel (225-275 BHN) using tungsten carbide tools under dry conditions. The functional relationships of these variables and the machining independent variables (cutting speed, feed rate and depth of cut) are established by a second order polynomial multi-regression analysis. Theory of optimization is applied using the models developed as objective and constraint functions to find the optimal cutting conditions.