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Volume 8 Issue 1
Jan.  2021

IEEE/CAA Journal of Automatica Sinica

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Zhipeng Chen, Zhaohui Jiang, Chunjie Yang, Weihua Gui and Youxian Sun, "Dust Distribution Study at the Blast Furnace Top Based on k-Sε-up Model," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 121-135, Jan. 2021. doi: 10.1109/JAS.2020.1003468
Citation: Zhipeng Chen, Zhaohui Jiang, Chunjie Yang, Weihua Gui and Youxian Sun, "Dust Distribution Study at the Blast Furnace Top Based on k--up Model," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 121-135, Jan. 2021. doi: 10.1109/JAS.2020.1003468

Dust Distribution Study at the Blast Furnace Top Based on k--up Model

doi: 10.1109/JAS.2020.1003468
Funds:  This work was supported by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (61621062), the National Major Scientific Research Equipment of China (61927803), the National Natural Science Foundation of China (61933015), and the National Natural Science Foundation for Young Scholars of China (61903325)
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  • The dust distribution law acting at the top of a blast furnace (BF) is of great significance for understanding gas flow distribution and mitigating the negative influence of dust particles on the accuracy and service life of detection equipment. The harsh environment inside a BF makes it difficult to describe the dust distribution. This paper addresses this problem by proposing a dust distribution $k\text{-} S\!\varepsilon \text{-} {u_p}$ model based on interphase (gas-powder) coupling. The proposed model is coupled with a $k\text{-} S\!\varepsilon$ model (which describes gas flow movement) and a $ {u_p} $ model (which depicts dust movement). First, the kinetic energy equation and turbulent dissipation rate equation in the $k\text{-} S\!\varepsilon$ model are established based on the modeling theory and single-Green-function two-scale direct interaction approximation (SGF-TSDIA) theory. Second, a dust particle movement $ {u_p} $ model is built based on a force analysis of the dust and Newton’s laws of motion. Finally, a coupling factor that describes the interphase interaction is proposed, and the $k\text{-} S\!\varepsilon \text{-} {u_p} $ model, with clear physical meaning, rigorous mathematical logic, and adequate generality, is developed. Simulation results and on-site verification show that the $k\text{-} S\!\varepsilon \text{-} {u_p} $ model not only has high precision, but also reveals the aggregate distribution features of the dust, which are helpful in optimizing the installation position of the detection equipment and improving its accuracy and service life.


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  • [1]
    Y. Hashimoto, Y. Kitamura, and T. Ohashi, “Transient model-based operation guidance on BF,” Control Eng. Pract., vol. 82, pp. 130–141, Jan. 2019. doi: 10.1016/j.conengprac.2018.10.009
    Y. Zhang, P. Zhou, and G. M. Cui, “Multi-model based PSO method for burden distribution matrix optimization with expected burden distribution output behaviors,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 6, pp. 1506–1512, Nov. 2019.
    Z. H. Yi, Z. P Chen, Z. H. Jiang, and W. H. Gui, “A novel three-dimensional high-temperature industrial endoscope with large field depth and wide field,” IEEE Trans. Instrum. Meas., pp. 1–1, Jan. 2020.
    F. Jin, J. Zhao, C. Y. Sheng, and W. Wang, “Causality diagram-based scheduling approach for blast furnace gas system,” IEEE/CAA J. Autom. Sinica, vol. 5, no. 2, pp. 587–594, Mar. 2018. doi: 10.1109/JAS.2017.7510715
    J. D. Wei and X. Z. Chen, “Blast furnace gas flow strength prediction using FMCW radar,” ISIJ INT., vol. 55, pp. 600–604, Apr. 2015. doi: 10.2355/isijinternational.55.600
    M. Lateb, C. Masson, T. Stathopoulos, and C. Bédard, “Comparison of various types of k-ε models for pollutant emissions around a two-building configuration,” J. Wind. Eng. Ind. Aerod., vol. 115, pp. 9–21, Apr. 2013. doi: 10.1016/j.jweia.2013.01.001
    J. L. Li, H. W. Tang, and Y. T. Yang, “Numerical simulation and thermal performance optimization of turbulent flow in a channel with multi V-shaped baffles,” Int. Commun. Heat Mass, vol. 92, pp. 39–50, Mar. 2018. doi: 10.1016/j.icheatmasstransfer.2018.02.004
    H. Li, N. K. An, and Y. A. Hassan, “Computational study of turbulent flow interaction between twin rectangular jets,” Int. J. Heat Mass Tran., vol. 119, pp. 752–767, Apr. 2018. doi: 10.1016/j.ijheatmasstransfer.2017.12.008
    F. Afroz and M. A. R. Sharif, “Numerical study of turbulent annular impinging jet flow and heat transfer from a flat surface,” Appl. Therm. Eng., vol. 138, pp. 154–172, Jun. 2018. doi: 10.1016/j.applthermaleng.2018.04.007
    J. Fu, Y. Tang, J. X. Li, Y. Ma, W. Chen, and H. Li, “Four kinds of the two-equation turbulence model’s research on flow field simulation performance of DPF’s porous media and swirl-type regeneration burner,” Appl. Therm. Eng., vol. 93, pp. 397–404, Jan. 2016. doi: 10.1016/j.applthermaleng.2015.09.116
    S. Kumar, A. D. Kothiyal, M. S. Bisht, and A. Kumar, “Turbulent heat transfer and nanofluid flow in a protruded ribbed square passage,” Results Phys., vol. 7, pp. 3603–3618, 2017. doi: 10.1016/j.rinp.2017.09.023
    K. Nakajima, R. Ooka, and H. Kikumoto, “Evaluation of k-ε Reynolds stress modeling in an idealized urban canyon using LES,” J. Wind Eng. Ind. Aerod., vol. 175, pp. 213–228, Apr. 2018. doi: 10.1016/j.jweia.2018.01.034
    M. Mößner and R. Radespiel, “Modelling of turbulent flow over porous media using a volume averaging approach and a Reynolds stress model,” Comput. Fluids., vol. 108, pp. 25–42, Feb. 2015. doi: 10.1016/j.compfluid.2014.11.024
    A. Yoshizawa, H. Abe, and Y. Matsuo, “A Reynolds-averaged turbulence modeling approach using three transport equations for the turbulent viscosity, kinetic energy, and dissipation rate,” Phys. Fluids., vol. 24, pp. 075109-1–075109-21, Jul. 2012.
    R. H. Kraichnan, “An almost-Markovian Galilean-invariant turbulence model,” J. Fluid Mech., vol. 47, no. 3, pp. 513–524, Jun. 1971. doi: 10.1017/S0022112071001204
    A. Yoshizawa, “Statistical theory for the diffusion of a passive scalar in turbulent shear flows,” J. Phys. Soc. Jpn., vol. 53, no. 4, pp. 1264–1276, Apr. 1984. doi: 10.1143/JPSJ.53.1264
    Y. Shimomura, “A theoretical study of the turbulent diffusion in incompressible shear flows and in passive scalars,” Phys. Fluids, vol. 10, no. 10, pp. 2636–2646, Oct. 1998. doi: 10.1063/1.869776
    R. Rzehak and E. Krepper, “Euler-Euler simulation of mass-transfer in bubbly flows,” Chem. Eng. Sci., vol. 155, pp. 459–468, Nov. 2016. doi: 10.1016/j.ces.2016.08.036
    D. Gidaspow, “Multiphase flow and fluidization – continuum and kinetic theory description,” J. Non-Newton. Fluid, vol. 55, no. 3, pp. 207–208, Nov. 1994.
    P. J. Ireland and O. Desjardins, “Improving particle drag predictions in Euler-Lagrange simulations with two-way coupling,” J. Comput. Phys., vol. 338, pp. 405–430, Jun. 2017. doi: 10.1016/j.jcp.2017.02.070
    G. B. Schubauer and C. M. Tchen. Turbulent Flow, Princeton, Princeton University Press, 2016.
    L. X. Zhou, “Two-phase turbulence models in Eulerian-Eulerian simulation of gas-particle flows and coal combustion,” Procedia Engineering, vol. 102, pp. 1677–1696, 2015. doi: 10.1016/j.proeng.2015.01.304
    L. X. Zhou and T. Chen, “Simulation of swirling gas–particle flows using USM and kεk p two-phase turbulence models,” Powder Technol., vol. 114, no. 1–3, pp. 1–11, Jan. 2001. doi: 10.1016/S0032-5910(00)00254-0
    A. I. J. Love, D. Giddings, and H. Power, “Gas-particle flow modeling: beyond the dilute limit,” Procedia Engineering, vol. 102, pp. 1426–1435, 2015. doi: 10.1016/j.proeng.2015.01.276
    C. P. Chen and P. E. Wood, “Turbulence closure modeling of two-phase flows,” Chem. Eng. Commun., vol. 29, no. 1, pp. 291–310, Aug. 1984.
    J. B. Jiang, L. B. Wang, and Z. M. Lu, “A new model for turbulent energy dissipation,” Int. J. Nonlin. Sci. Num., vol. 2, no. 3, pp. 277–282, Jan. 2001.
    X. F. Dong, D. Pinson, S. J. Zhang, A. B. Yu, and P. Zulli, “Gas-powder flow in blast furnace with different shapes of cohesive zone,” Appl. Math. Model, vol. 30, pp. 1293–1309, Apr. 2006. doi: 10.1016/j.apm.2006.03.004
    R. Rubinstein and Y. Zhou, “Analytical theory of the destruction terms in dissipation rate transport equations,” Phys. Fluids., vol. 8, no. 11, pp. 3172–3178, Nov. 1996. doi: 10.1063/1.869090
    Z. P. Chen, Z. H. Jiang, W. H. Gui, and C. H. Yang, “A novel device for optical imaging of blast furnace burden surface: parallel low-light-loss backlight high-temperature industrial endoscope,” IEEE Sens. J., vol. 16, pp. 6703–6717, Sep. 2016. doi: 10.1109/JSEN.2016.2587729


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    • A k-Sε-up model based on interphase coupling is developed to describe the dust distribution in the BF top.
    • Mode and turbulent analysis theories are fused to close the model and improve model adaptability.
    • A coupling factor that describes the interphase interaction is proposed.
    • The aggregate features of the dust distribution are revealed.


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