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Research on Structural Optimization of Regenerative Melting Aluminum Furnace

Received: 25 October 2021    Accepted: 30 December 2021    Published: 31 December 2021
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Abstract

In order to predict the performance parameters of a regenerative melting aluminum furnace new designed based on the regenerative combustion technology, the computational fluid dynamics numerical simulation method was used to study its combustion characteristics. Flow field, temperature field and mass fraction of pollutant NO were numerically simulated for the furnace by using the k-ε turbulence model, Eddy-Dissipation Concept combustion model, P-1 radiation equation, and NOX pollutant model respectively of the ANSYS-Fluent software. The result shows a short circuit of the flue gas appears when the regenerative burner is arranged on the same side furnace wall, at the same time, the distribution of the temperature field is uneven. The researcher carried out structural transformation of the aluminum melting furnace. Compared with the furnace before modification, the furnace that the regenerative burners installed in the middle of both sides wall ensures temperature field distribution more uniform and reduction of the NO emissions at furnace outlet.

Published in Advances in Applied Sciences (Volume 6, Issue 4)
DOI 10.11648/j.aas.20210604.19
Page(s) 132-141
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Regenerative Aluminum Melting Furnace, Numerical Simulation, Structural Optimization

References
[1] Wang Zibing, Li Shi Cheng, Xing Hongwei, et al. Design and a application of flue gas backflushing system for regenerative heating furnace. China Metallurgy, vol. 29, no. 11, pp. 82-86, 2019.
[2] Experiments on pressure distribution inside regenerator of reheating furnace for rolling process. China Metallurgy, vol. 29, no. 9, pp. 29-32, 2019.
[3] Bu Huancun. Application of Heat Storage High Temperature Air Combustion Technology. Journal of Iron and Steel Research, vol. 17, no. 5, pp. 1-6, 2005.
[4] Liu Zhiqiang, Han Zheng, Wang Zhenhe. Structural Optimized for the Regenerative Burners of Little Heating Furnace. Industrial Furnace, vol. 26, no. 1, pp. 36-38, 2004.
[5] Lv Yiqing, Sun We, Hou Weijun, etc. Study and Design of Structure Optimization in Regenerative Burner of Reheating Furnace. Industrial Furnace, vol. 27, no. 4, pp. 9-16, 2005.
[6] Cadavid F, Herrera B, Amell A. Numerical Simulation of the Flow Streams Behavior in a Self-regenerative Crucible Furnace. Applied Thermal Engineering, vol. 30, no. 8, pp. 826-832, 2010.
[7] Danon B, Cho E S, Jong W D, et al. Numerical Investigation of Burner Positioning Effects in a Multi-burner Flameless Combustion Furnace. Applied Thermal Engineering, vol. 31, no. 17, pp. 3885-3896, 2011.
[8] Xiao Dan, Liu Hongxun, Yang Tao. Numerical Simulation and Parameters Optimization of Combustion Process of Air Single-Regenerative Burner. Industrial Furnace, vol. 34, no. 6, pp. 49-51+55, 2012.
[9] Rao Wentao, Dun Jun, Zhang Hesheng, etc. Numerical Simulation Optimizing Research of Regenerative Burner Structure. Industrial Furnace, vol. 24, no. 2, pp. 5-8, 2002.
Cite This Article
  • APA Style

    Tao Li, Aiqin Li, Jiecheng Yu, Zhiming Guo, Jingyu Yan, et al. (2021). Research on Structural Optimization of Regenerative Melting Aluminum Furnace. Advances in Applied Sciences, 6(4), 132-141. https://doi.org/10.11648/j.aas.20210604.19

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    ACS Style

    Tao Li; Aiqin Li; Jiecheng Yu; Zhiming Guo; Jingyu Yan, et al. Research on Structural Optimization of Regenerative Melting Aluminum Furnace. Adv. Appl. Sci. 2021, 6(4), 132-141. doi: 10.11648/j.aas.20210604.19

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    AMA Style

    Tao Li, Aiqin Li, Jiecheng Yu, Zhiming Guo, Jingyu Yan, et al. Research on Structural Optimization of Regenerative Melting Aluminum Furnace. Adv Appl Sci. 2021;6(4):132-141. doi: 10.11648/j.aas.20210604.19

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  • @article{10.11648/j.aas.20210604.19,
      author = {Tao Li and Aiqin Li and Jiecheng Yu and Zhiming Guo and Jingyu Yan and Ningjing Yang and Yunjie Wu},
      title = {Research on Structural Optimization of Regenerative Melting Aluminum Furnace},
      journal = {Advances in Applied Sciences},
      volume = {6},
      number = {4},
      pages = {132-141},
      doi = {10.11648/j.aas.20210604.19},
      url = {https://doi.org/10.11648/j.aas.20210604.19},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aas.20210604.19},
      abstract = {In order to predict the performance parameters of a regenerative melting aluminum furnace new designed based on the regenerative combustion technology, the computational fluid dynamics numerical simulation method was used to study its combustion characteristics. Flow field, temperature field and mass fraction of pollutant NO were numerically simulated for the furnace by using the k-ε turbulence model, Eddy-Dissipation Concept combustion model, P-1 radiation equation, and NOX pollutant model respectively of the ANSYS-Fluent software. The result shows a short circuit of the flue gas appears when the regenerative burner is arranged on the same side furnace wall, at the same time, the distribution of the temperature field is uneven. The researcher carried out structural transformation of the aluminum melting furnace. Compared with the furnace before modification, the furnace that the regenerative burners installed in the middle of both sides wall ensures temperature field distribution more uniform and reduction of the NO emissions at furnace outlet.},
     year = {2021}
    }
    

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    T1  - Research on Structural Optimization of Regenerative Melting Aluminum Furnace
    AU  - Tao Li
    AU  - Aiqin Li
    AU  - Jiecheng Yu
    AU  - Zhiming Guo
    AU  - Jingyu Yan
    AU  - Ningjing Yang
    AU  - Yunjie Wu
    Y1  - 2021/12/31
    PY  - 2021
    N1  - https://doi.org/10.11648/j.aas.20210604.19
    DO  - 10.11648/j.aas.20210604.19
    T2  - Advances in Applied Sciences
    JF  - Advances in Applied Sciences
    JO  - Advances in Applied Sciences
    SP  - 132
    EP  - 141
    PB  - Science Publishing Group
    SN  - 2575-1514
    UR  - https://doi.org/10.11648/j.aas.20210604.19
    AB  - In order to predict the performance parameters of a regenerative melting aluminum furnace new designed based on the regenerative combustion technology, the computational fluid dynamics numerical simulation method was used to study its combustion characteristics. Flow field, temperature field and mass fraction of pollutant NO were numerically simulated for the furnace by using the k-ε turbulence model, Eddy-Dissipation Concept combustion model, P-1 radiation equation, and NOX pollutant model respectively of the ANSYS-Fluent software. The result shows a short circuit of the flue gas appears when the regenerative burner is arranged on the same side furnace wall, at the same time, the distribution of the temperature field is uneven. The researcher carried out structural transformation of the aluminum melting furnace. Compared with the furnace before modification, the furnace that the regenerative burners installed in the middle of both sides wall ensures temperature field distribution more uniform and reduction of the NO emissions at furnace outlet.
    VL  - 6
    IS  - 4
    ER  - 

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Author Information
  • School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China

  • School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China

  • School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China

  • Guangzhou Longxin Regenerative Industrial Furnace Co., Ltd., Guangzhou, China

  • School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China

  • School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China

  • Guangzhou Longxin Regenerative Industrial Furnace Co., Ltd., Guangzhou, China

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