CNC Machine Tools and Digital Twins

Yu. G. Kabaldin; D. A. Shatagin; M. S. Anosov; P. V. Kolchin; A. M. Kuz’mishina

doi:10.3103/S1068798X19080070

CNC Machine Tools and Digital Twins

Authors: Kabaldin Y.G.¹, Shatagin D.A.¹, Anosov M.S.¹, Kolchin P.V.¹, Kuz’mishina A.M.¹
Affiliations:
1. Alekseev Nizhny Novgorod State Technical University
Issue: Vol 39, No 8 (2019)
Pages: 637-644
Section: Article
URL: https://journal-vniispk.ru/1068-798X/article/view/227764
DOI: https://doi.org/10.3103/S1068798X19080070
ID: 227764

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Abstract

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.

Keywords

cyberphysical systems, neural-network models, big data, digital twins, manufacturing equipment, CNC machine tools, production planning, dynamic monitoring