Modeling and assessment of the energy state of the technological system of mechanical processing when creating digital twins

An approach to the construction of digital twins technological system for turning low rigidity parts and assessment energy state is proposed in this article. The creating twin models by differential equations allows excide a time-consuming procedure training neural networks. results obtained are transmitted block. Calculations performed determine power consumption between moving machine cutting process. To energy, we use Hamilton equations. developed modeling technique computational experiments will provide an operational resource-saving mode production machining