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Predicting the Hot Strength of Coke on the Basis of Batch Characteristics

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Abstract

By means of a regression model, the strength CSR of coke after reaction with carbon dioxide may be predicted at the stage of batch formulation. This model takes account of the data from technical, petrographic, and plastometric analysis of the batch. On that basis, the value determined on the basis of the rank composition may be refined. The model is developed for the raw materials available at PAO NLMK on the basis of statistical data. That allows the coking conditions to be taken indirectly into account. The model is incorporated in computer software.

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Authors and Affiliations

  1. PAO Novolipetskii Metallurgicheskii Kombinat (NLMK), Lipetsk, Russia

    V. I. Shcherbakova, A. V. Shilyakov & S. N. Klyukin

  2. Lipetsk State Technical University, Lipetsk, Russia

    V. I. Shcherbakova, A. V. Bondarenko & V. A. Bondarenko

  3. ZAO NLMK-Engineering, Lipetsk, Russia

    V. A. Bondarenko

Authors
  1. V. I. Shcherbakova
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  2. A. V. Shilyakov
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  3. S. N. Klyukin
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  4. A. V. Bondarenko
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  5. V. A. Bondarenko
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Corresponding authors

Correspondence to A. V. Shilyakov or S. N. Klyukin.

Additional information

Translated by B. Gilbert

This article is published in commemoration of the 60th anniversary of coke production at PAO NLMK.

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Shcherbakova, V.I., Shilyakov, A.V., Klyukin, S.N. et al. Predicting the Hot Strength of Coke on the Basis of Batch Characteristics. Coke Chem. 62, 515–522 (2019). https://doi.org/10.3103/S1068364X19110073

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  • DOI: https://doi.org/10.3103/S1068364X19110073

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