The purpose of the research is to solve the problem of adaptive control of operation life of cutting tool in turning of hard-to-machine materials. Adaptive control was performed in real time mode using the results of active diagnostic monitoring of tool cutting edge condition with the guarantee of proper precision and quality, for parts made of hard-to-machine materials, for the case of GX120Mn-13 steel. The method for identification of defects of tool cutting edge is considered and justified. Forecasting the dynamics of changes in technical condition of tool cutting edge is performed. Mathematical models of the process of changing the functional properties of tool cutting edge are proposed. The study confirms the possibility of using the resonance amplitude-frequency characteristics of the spectrum of fundamental and own frequencies of cutting edge vibrations for diagnostic monitoring of PCBN cutting tool efficiency in machining of high manganese steel. It has been established that cutting edge wear and fatigue damages occur at a frequency ranging from 1.6 kHz to 1.8 kHz and cutting edge volumetric fatigue destruction occurs at a frequency ranging from 3.6 kHz to 4.0 kHz. It has been proven that diagnostic monitoring of technical condition of tool cutting edge in the machining of hard-to-machine materials is advisable to be carried out by the means of technical diagnostic systems using energy characteristics of work. Just this method guarantees the acceptable degree of reliability of results, the minimal time consumption and the minimal expenses of determining the parameters of technical condition of a cutting tool.
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