Prospective methods for recognizing the state of a metal-cutting tool

For the manufacture of high-precision parts for aviation and space technology, it is necessary to achieve high-quality work of metal-cutting machines. The accuracy of processing and the quality of the treated surface directly depends on the properties of the tool, as well as its wear. A number of devices and techniques for controlling cutting tools are known. However, many of them are not effective enough for precision machining on automated machines. For timely detection of defects and prevention of catastrophic wear of the cutting edge of the tool, recognition methods are necessary to ensure high quality control. The paper considers an algorithm for monitoring the condition of incisors, which makes it possible to increase the efficiency of active control on modern machines.