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Digital Twin of Chip Formation

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Russian Engineering Research Aims and scope

Abstract

Chip formation in machining is investigated. A relation is established between the type of chip, the type of crystal lattice, and the number of slip systems. A neural-network model of chip formation permits prediction of the type of chip. A smart control system for chip formation is proposed.

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Authors and Affiliations

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

    Yu. G. Kabaldin, D. A. Shatagin, M. S. Anosov & 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. A. M. Kuz’mishina
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Corresponding author

Correspondence to Yu. G. Kabaldin.

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Translated by B. Gilbert

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Kabaldin, Y.G., Shatagin, D.A., Anosov, M.S. et al. Digital Twin of Chip Formation. Russ. Engin. Res. 41, 140–144 (2021). https://doi.org/10.3103/S1068798X21020076

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  • DOI: https://doi.org/10.3103/S1068798X21020076

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