Development of a Conceptual Scheme for Controlling Tool Wear During Cutting, Based on the Interaction of Virtual Models of a Digital Twin and a Vibration Monitoring System.

This article discusses the issue of the joint use of neural network algorithms for data processing and deterministic mathematical models. The use of a new approach is proposed, to determine the discrepancy between data from a vibration monitoring system of the cutting process and the calculated data obtained by modeling mathematical models of the digital twin system of the cutting process. This approach is justified by the fact that some coordinates for the state of the cutting process cannot be measured, and the vibration signals measured by the vibration monitoring system (the vibration acceleration of the tip of the cutting tool) are subject to external disturbing influences.

Research on Influence of Tool Deformation in the Direction of Cutting and Feeding on the Stabilization of Vibration Activity during Metal Processing Using Metal-Cutting Machines.

The article is devoted to the issues regarding assessment of the impact of changes in the delay in the feed direction on the dynamics of metal processing with metal-cutting machines. Here, for the first time, it is proposed that we take into account, when constructing models of the cutting control system, the real value of the delay value. It is this model that allows us to adequately consider the dynamics of the cutting process, by clarifying the effect of vibration regeneration.