A Prediction Model Approach of Tool Wear for Turning Hastelloy X Alloy Using Genetic Algorithm Toolbox

Referring to the Taylor formula, a regression model of VB_max (maximum width of the flank wear land in the central portion of the active cutting edge) is assigned for the exponential form. Turning Hastelloy X alloy experiments was designed based on the quadratic rotary combination design technique. By identifying regression coefficient using genetic algorithm toolbox in MALAB7.1, a tool wear prediction model was obtained. The rule that the prediction model reflects is identical with not only visual analyses result of experiment data but also tradition basic cutting theory, in addition the residual error is smaller, all these explain that this prediction model was well fitted.