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Development and application of thermal mathematical model of iron ore pellet bed in grate

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Abstract

Based on the analysis of heat transfer mechanics, physical and chemical change of pellet drying and preheating process in grate, the mathematical model is established and solved by three-diagonal matrix algorithm. With Visual Basic 6.0 a simulation software is developed. The model is verified by measurements at a domestic pellet plant, and the temperature distribution of pellet bed is gained. Meanwhile, the influence of different operation parameters on the pellet thermal process is studied. The results can be taken as a basis of practical production control and the grate optimizing design.

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Abbreviations

cs, cg:

Specific heat capacity of pellet and gas, J/(kg·K)

h :

Convection heat transfer coefficient, W/(m2 · K)

Δh r :

Enthalpy of reaction of oxidation, J/kg

Δh w :

Latent heat of vaporization, J/kg

R r :

Rate of magnetite reaction, kg/(m3 · s)

R w :

Water evaporation rate, kg/(m3 · s)

Ts, Tg:

Thermodynamic temperature of pellet and gas, K

u g :

Velocity of gas, m/s

α :

Surface area of pellets per stere, m2/m3

ɛ b :

Porosity of pellet bed, %

λ g :

Thermal conductivity of gas, W/(m · K)

λ s :

Thermal conductivity of pellet, W/(m · K)

ρs, ρg:

Mass density of pellet and gas, kg/m3

τ :

Time, s

φ :

Sharing coefficient of reaction heat in solid phase

References

  1. Young R W, Cross M, Gibson R D. Mathematical model of grate-kiln-cooler process used for induration of Iron Ore Pellets [J]. Ironmaking and Steelmaking, 1979, 6(1): 1–13.

    Google Scholar 

  2. Thurlby J A. A dynamic mathematical model of the complete grate/kiln iron-ore pellet induration process [J]. Metallurgical Transactions B, 1988, 19B(1): 103–112.

    Article  Google Scholar 

  3. Turlby J A. Gas flow and pressure balancing in modeling grate/kiln induration [J]. Metallurgical Transactions B, 1988, 19B(1): 113–122.

    Article  Google Scholar 

  4. Turlby J A. Energy cost minimization in grate/kiln induration [J]. Metallurgical Transactions B, 1988, 19B(1): 123–132.

    Article  Google Scholar 

  5. Cross M, Young R W. Mathematical model of rotary kilns used in the production of iron ore pellets [J]. Ironmaking and Steelmaking, 1976, 3(3): 129–137.

    Google Scholar 

  6. Pape P O, Frans R D, Geiger G H. Magnetite oxidation kinetics and thermal profiles in a magnetite pellet plant cooler [J]. Ironmaking and Steelmaking, 1976, 3(3): 138–145.

    Google Scholar 

  7. Voskamp J H. Digital simulation of the steady state behaviour of moving bed processes [J]. Journal of Dynamic Systems, Measurement and Control, 1975, 8(1): 23–30.

    Google Scholar 

  8. Hasenack N A. Induration process for pellets on a moving strand, mathematical process models in ironand steelmaking [M]. London: The Metals Society, 1975.

    Google Scholar 

  9. Thurlby J A, Batterham R J, Turner R E. Development and validation of a mathematical model for the moving grate induration of iron ore pellets [J]. International Journal of Mineral Processing, 1979, 6(1): 43–64.

    Article  Google Scholar 

  10. Cross M, Wade K C. Computer simulation of iron ore pellet induration with additives [C]// 5th International Symposium on Agglomeration. Brighton: ICheme, 1989: 291–299.

    Google Scholar 

  11. Cross M, Blot P. Optimizing the operation of straight-grate iron-ore pellet induration systems using process models [J]. Metallurgical and Materials Transactions, 1999, 30B: 803–813.

    Google Scholar 

  12. Barti M. Dynamic simulation of pellet induration process in straight-grate system [J]. International Journal of Mineral Processing, 2008, 89(1): 30–39.

    Article  Google Scholar 

  13. Sadmezhaad S K, Ferdowsi A, Payab H. Mathematical model for a straight grate iron ore pellet induration process of industrial scale [J]. Computational Materials Science, 2008, 44(9): 296–302.

    Article  Google Scholar 

  14. Majumder S, Natekar P V, Runkana V. Virtual indurator: A tool for simulation of induration of wet iron ore pellets on a moving grate [J]. Computers and Chemical Engineering, 2009, 33(6): 1141–1152.

    Article  Google Scholar 

  15. Zhang Han-quan. Study on process parameters of drying and preheating iron oxidized pellets in grate-kiln [J]. Mining and Metallurgy, 2005, 14(2): 59–65 (in Chinese).

    Google Scholar 

  16. Feng Jun-xiao, Sun Zhi-bin, Zhang Yu, et al. Mass and thermal balance and energy-saving analysis of the grate-kiln system [J]. Sintering and Pelletizing, 2007, 32(6): 29–34 (in Chinese).

    Google Scholar 

  17. Zhang Yu, Feng Jun-xiao, Zhang Cai, et al. Energy and exergy analysis of iron ore pellets induration in grate-kiln-cooler [J]. Sintering and Pelletizing, 2008, 33(5): 5–8 (in Chinese).

    Google Scholar 

  18. Fu Ju-ying, Li Yun-tao, Jiang Chang-wei, et al. Oxidation kinetics of magnetite concentrate pellets [J]. Journal Central South University of Science and Technology, 2004, 35(6): 950–953 (in Chinese).

    Google Scholar 

  19. Zhang Cai. The numerical simulation study of the pellets heat process in grate-kiln-cooler [D]. Beijing: School of Mechanical Engineering, University of Science and Technology Beijing, 2010 (in Chinese).

    Google Scholar 

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Correspondence to Jun-xiao Feng  (冯俊小).

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Foundation item: the National High Technology Research and Development Program (863) of China (No. 2007AA05Z215)

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Feng, Jx., Liang, Kl., Zhang, C. et al. Development and application of thermal mathematical model of iron ore pellet bed in grate. J. Shanghai Jiaotong Univ. (Sci.) 16, 312–315 (2011). https://doi.org/10.1007/s12204-011-1150-3

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  • DOI: https://doi.org/10.1007/s12204-011-1150-3

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