Evaluation of Intelligent Analysis Methods Instrument Conditions

This article provides an overview of modern data mining methods used to monitor and diagnose the condition of the cutting tool.When operating metal-cutting machines, the issues of increasing reliability, productivity, accuracy of work, improving the quality of manufacturing parts, as well as the level of automation remain relevant. All these factors depend to one degree or another on the condition of the cutting tool on the machine during processing. Cutting tools play an important role in industrial production, where the accuracy and efficiency of material processing are crucial. To ensure the smooth operation of mechanical equipment, systems for monitoring and diagnosing the condition of cutting tools become an integral part of production processes. Machining accuracy is the most important characteristic of any technological equipment, for example, a numerically controlled machine tool (CNC). As you know, increasing the accuracy of manufacturing parts increases the service life of machines and equipment. They cannot function normally with insufficient manufacturing accuracy of its components due to dynamic loads arising during operation, which cause accelerated wear of the equipment and its further destruction. The causes of processing errors on metal-cutting machines are associated with inaccuracy, deformations and wear of machines, devices and tools, as well as directly with deformations of workpieces processed on machines under the action of cutting forces, heating, errors in the measurement process and others. For CNC machines performing processing in automatic mode, the requirements for the quality of the tool as a parameter determining the accuracy of processing are significantly increasing. It is unacceptable to treat the problem of processing accuracy insufficiently carefully in the conditions of computerized production, built according to the principle of «deserted work». One of the promising ways to improve the quality of processing is to create and apply intelligent control systems for technological equipment that ensure the manufacture of parts taking into account the technical characteristics and condition of the machine, cutting tool, workpiece and information and measurement subsystem. Production systems should be equipped with intelligent modules in order to improve the quality of processing, increase the efficiency and reliability of production processes. In the field of diagnostics and control of the cutting process, such systems will also have the highest level of execution of the quality of the technological process.