CHATTER STABILITY BOUNDARY ANALYSIS USING NEURAL NETWORK

摘要

(1) Using the stability boundary analysis by RBNN, It is possible to discriminate the region between the stable and unstable region. With this method, a stability lobe that is a transition boundary between stable and unstable region with respect to the axial depth of cut and the revolution of spindle speed was suggested.rn(2) Using the RBNN, A stability lobe that is consistent with that of the conventional method can be acquired with this algorithm. Even if the weighting factor and the bias is random value, the target value can be approximated by increasing the learning rate and repetitive number.