Reducing the uncertainty of technological information through multi-stage diagnostics of the cutting process

Abstract

The article presents the results of a study aimed at improving the efficiency of cutting process control through the development of monitoring tools, reducing the impact of uncertainty of technological information and the development of technological equipment to the level of intelligent technological machining systems. The article proposes a methodology for multi-stage monitoring based on multichannel diagnostics of the cutting process with a physical and informational justification for the choice of diagnostic channels. The methodology is based on the results of an analysis of the system of interrelationships between the properties of materials involved in the processing process, the technological conditions of processing and the properties of the treated surface, the physical patterns of wear and the relationship between the condition of the tool and the properties of the treated surface, as well as their comparison with the results of experimental studies using modern technological and laboratory equipment, cutting tools. Intelligent multi-stage monitoring of the machining process based on multi-channel diagnostics of the cutting process makes it possible to clarify the range of permissible modes in relation to the state of the elements of the technological system and perform parametric optimization in order to ensure that the specified requirements for the result of machining are met. The results of the conducted research are fully consistent with the theoretical concepts of the laws of the cutting process, the formation of the quality parameters of the treated surface, the wear of the cutting tool, as well as the principles of optimal cutting modes.