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CFD Analysis of Blast Furnace Operating Condition Impacts on Operational Efficiency

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CFD Modeling and Simulation in Materials Processing 2016

Part of the book series: The Minerals, Metals & Materials Series ((MMMS))

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Abstract

Blast furnaces are counter-current chemical reactors used to reduce iron ore into liquid iron. Hot reduction gases are blasted through a burden consisting of iron ore pellets, slag, flux, and coke. The chemical reactions that occur through the furnace reduce the iron ore pellets into liquid iron as they descend through the furnace. Experimental studies and live operation measurements can be extremely difficult to perform on a blast furnace due to the extremely harsh environment generated by the operational process. Computational Fluid Dynamics (CFD) modeling has been developed and applied to simulate the complex multiphase reacting flow inside a blast furnace shaft. The model is able to predict the burden distribution pattern, Cohesive Zone (CZ) shape, gas reduction utilization, coke rate, and other operational conditions. This paper details the application of this model to investigate the effects of coke size and porosity, iron ore pellet size, and burden descent speed on blast furnace efficiency.

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Author information

Authors and Affiliations

  1. Center for Innovation through Visualization and Simulation, Purdue University Calumet, 2200 169th Street, Hammond, IN, 46323, USA

    Tyamo Okosun, Armin K. Silaen, Guangwu Tang, Bin Wu & Chenn Q. Zhou

Authors
  1. Tyamo Okosun
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  2. Armin K. Silaen
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  3. Guangwu Tang
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  4. Bin Wu
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  5. Chenn Q. Zhou
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Editor information

Editors and Affiliations

  1. Metallurgical and Materials Engineering Department, The University of Alabama, Tuscaloosa, Alabama, USA

    Laurentiu Nastac (Associate Professor of Metallurgical and Materials Engineering, Key FEF Professor and the Director of the Solidification Laboratory and the UA-COE foundry) (Associate Professor of Metallurgical and Materials Engineering, Key FEF Professor and the Director of the Solidification Laboratory and the UA-COE foundry)

  2. University of Science and Technology Beijing, China

    Lifeng Zhang (Professor and the Dean of the School of Metallurgical and Ecological Engineering, Distinguished Professor) (Professor and the Dean of the School of Metallurgical and Ecological Engineering, Distinguished Professor)

  3. Yangtze River Scholars, China

    Lifeng Zhang (Professor and the Dean of the School of Metallurgical and Ecological Engineering, Distinguished Professor) (Professor and the Dean of the School of Metallurgical and Ecological Engineering, Distinguished Professor)

  4. University of Illinois, USA

    Brian G. Thomas (Gauthier Professor of Mechanical Engineering, Director of the Continuous Casting Consortium) (Gauthier Professor of Mechanical Engineering, Director of the Continuous Casting Consortium)

  5. Northeastern University (NEU), Shenyang, China

    Miaoyong Zhu (Professor and Dean of Metallurgy School (MS) (Professor and Dean of Metallurgy School (MS)

  6. Metallurgy Department, Montanuniversitaet Leoben, Austria

    Andreas Ludwig (Full Professor) (Full Professor)

  7. Materials Science and Technology Division, Oak Ridge National Laboratory, USA

    Adrian S. Sabau (Senior Research Staff Member) (Senior Research Staff Member)

  8. University of Greenwich, London, UK

    Koulis Pericleous (Chair of Computational Fluid Dynamics, Director of the Centre for Numerical Modelling and Process Analysis) (Chair of Computational Fluid Dynamics, Director of the Centre for Numerical Modelling and Process Analysis)

  9. Ecole des Mines de Nancy (Lorraine University), France

    Hervé Combeau (professor) (professor)

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© 2016 The Minerals, Metals & Materials Society

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Okosun, T., Silaen, A.K., Tang, G., Wu, B., Zhou, C.Q. (2016). CFD Analysis of Blast Furnace Operating Condition Impacts on Operational Efficiency. In: Nastac, L., et al. CFD Modeling and Simulation in Materials Processing 2016. The Minerals, Metals & Materials Series. Springer, Cham. https://doi.org/10.1007/978-3-319-65133-0_10

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