Published August 2019
| Version v1
Journal article
CNC Machine Tools and Digital Twins
- 1. Alekseev Nizhny Novgorod State Technical University (Russian Federation)
Description
Neural-network models used in the development of digital twins for production equipment are considered. Such a model of the dynamic stability of cutting is assessed. A spectrogram showing the vibrational amplitude and frequency of the elastic system in a CNC machine tool is presented. The fractional dimensionality of the corresponding attractors is determined.
Additional details
Identifiers
Publishing Information
- Journal Title
- Russian Engineering Research
- Journal Volume
- 39
- Journal Issue
- 8
- Journal Page Range
- p. 637-644
- ISSN
- 1068-798X
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 51109053
- Subject category
- S42: ENGINEERING;
- Descriptors DEI
- AMPLITUDES; ATTRACTORS; CUTTING; MACHINE TOOLS; MANUFACTURING; MONITORING; NEURAL NETWORKS; PLANNING; STABILITY
- Descriptors DEC
- EQUIPMENT; MACHINING; TOOLS
Optional Information
- Copyright
- Copyright (c) 2019 Allerton Press, Inc.