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Neural-Network Analysis of Mandrel Life in a Piercing Mill

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Abstract

Statistical analysis is employed to determine the influence of factors such as the distance between rollers in the gorge, the advancement of the mandrel beyond the gorge, the grade of steel in the blank, and the sleeve length on the mandrel life in a piercing mill. The significance of each parameter in the statistical analysis is determined by neural-network modeling.

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Notes

  1. In the calculations and analysis, we consider the mandrels of the piercing mill in the operating conditions of pipe-production shop 3 at AO VTZ.

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Authors and Affiliations

  1. OAO RosNITI, 454139, Chelyabinsk, Russia

    E. V. Alyutina, A. A. Korsakov & D. V. Mikhalkin

  2. South Ural State University, 454080, Chelyabinsk, Russia

    A. V. Korol’

  3. AO Volzhskii Trubnyi Zavod (VTZ) , 404119, Volzhskii, Russia

    A. G. Ul’yanov & A. V. Niklyaev

Authors
  1. E. V. Alyutina
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  2. A. A. Korsakov
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  3. D. V. Mikhalkin
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  4. A. V. Korol’
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  5. A. G. Ul’yanov
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  6. A. V. Niklyaev
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Corresponding author

Correspondence to E. V. Alyutina.

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Translated by Bernard Gilbert

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Cite this article

Alyutina, E.V., Korsakov, A.A., Mikhalkin, D.V. et al. Neural-Network Analysis of Mandrel Life in a Piercing Mill. Steel Transl. 49, 134–136 (2019). https://doi.org/10.3103/S0967091219020025

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  • DOI: https://doi.org/10.3103/S0967091219020025

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