The study of milling online detecting intelligent optimization and control methods based on stability theory

Stability intelligent optimization and control theory in machining is one of the key technologies to ensure high precision and efficiency. Based on the MDOF dynamic model of tool-workpiece milling regenerative chatter, the MDOF coupling effect to stability is analyzed. The average milling force methods and second order response surface methods to obtain time varying milling force coefficient is studied to analysis the effect of stability forecast theory. Take the max material removal rate in stable milling as the optimization aim, the “forecast-control- evaluation-further control” online detecting, intelligent diagnosis and real-time control integrate strategy is proposed. The stability theory validation experiments were setup in TDNC-H8 milling machine, the results show high accuracy to make sure the high efficiency in stability milling.