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Numerical Study and Experimental Validation of Multiple Pouring Process in a 438-t Steel Ingot

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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

In the present work, a ladle-tundish-mould model throughout the whole multiple pouring (MP) process is proposed to describe the carbon distribution in the tundish and solidification process in the mould. The water analog experiment was carried out to simulate the carbon transportation and diffusion in the liquid steel in the tundish based on similarity rules. The experimental results were compared to the predicted results in a good agreement. The carbon distributions along three transverse sections in the riser of 438-t steel ingot were measured and found to be in good agreement with the simulated results, proofing the macrosegregation model. In addition, different pouring processes including the original MP process and delayed MP technique were considered to investigate their effects on the final macrosegregation of ingot. The results show that the delayed MP process has greater effects on the reduction of the positive segregation in the riser and in the centre region of ingot than the traditional MP.

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Author information

Authors and Affiliations

  1. Key Laboratory for Advanced Materials Processing Technology, Ministry of Education, School of Materials Science and Engineering, Tsinghua University, Beijing, 100084, China

    Zhenhu Duan, Houfa Shen, Jinwu Kang & Baicheng Liu

Authors
  1. Zhenhu Duan
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  2. Houfa Shen
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  3. Jinwu Kang
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  4. Baicheng Liu
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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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Duan, Z., Shen, H., Kang, J., Liu, B. (2016). Numerical Study and Experimental Validation of Multiple Pouring Process in a 438-t Steel Ingot. 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_25

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