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CNC Machine Tools and Digital Twins

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Russian Engineering Research Aims and scope

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.

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Authors and Affiliations

  1. Alekseev Nizhny Novgorod State Technical University, 603155, Nizhny Novgorod, Russia

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

Authors
  1. Yu. G. Kabaldin
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  2. D. A. Shatagin
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  3. M. S. Anosov
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  4. P. V. Kolchin
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  5. A. M. Kuz’mishina
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Corresponding author

Correspondence to Yu. G. Kabaldin.

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Translated by Bernard Gilbert

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Kabaldin, Y.G., Shatagin, D.A., Anosov, M.S. et al. CNC Machine Tools and Digital Twins. Russ. Engin. Res. 39, 637–644 (2019). https://doi.org/10.3103/S1068798X19080070

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  • DOI: https://doi.org/10.3103/S1068798X19080070

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