THERMAL SCIENCE

International Scientific Journal

Thermal Science - Online First

Authors of this Paper

External Links

online first only

Numerical simulation and experimental research of multi-pipe jet fireball

ABSTRACT
This paper studies a self-designed high-temperature fireball quasi-static simulation device to understand the temperature distribution of each substance inside the fireball under the multi-pipe injection technology. The changes in the physical field of the high-temperature fireball are obtained through numerical simulation. The simulation model in this paper adopts the turbulent k-ε model, and simulates the material transfer process according to Fick's law. The commercial software COMSOL multiphysics is used to give and analyze the local characteristics of fluid flow and heat transfer. The simulation device formed a high-temperature fireball under the interaction of the three-way jet fire. The experimental data verified the accuracy of the simulation results, and the experimental results were in good agreement with the simulation results. This method of analyzing the actual temperature field through simulation can be used to provide a powerful verification scheme for the detection of complex multi-temperature fields in the future.
KEYWORDS
PAPER SUBMITTED: 2022-01-29
PAPER REVISED: 2022-04-06
PAPER ACCEPTED: 2022-05-04
PUBLISHED ONLINE: 2022-07-09
DOI REFERENCE: https://doi.org/10.2298/TSCI220129090T
REFERENCES
  1. Jr, Feier, A numerical study of three-dimensional flame propagation over thin solids in purely forced concurrent flow including gas-phase radiation, 2007.
  2. Cloete, S., et al., An assessment of the ability of computational fluid dynamic models to predict reactive gas-solid flows in a fluidized bed. Powder Technology, 215 (2012), pp.15-25.
  3. Wenqi, Z., et al., DEM simulation of gas-solid flow behaviors in spout-fluid bed, Chemical Engineering Science, 61 (2006), pp. 1571-1584.
  4. Wei, D., et al., Computational fluid dynamics (CFD) modeling of spouted bed: Assessment of drag coefficient correlations. Chemical Engineering Science, 61 (2006), pp. 1401-1420.
  5. Kamnis, S., et al., Mathematical modelling of Inconel 718 particles in HVOF thermal spraying, Surface and Coatings Technology, 202 (2008), 2715-2724.
  6. Wojciech, P., et al., Modeling of particle transport and combustion phenomena in a large-scale circulating fluidized bed boiler using a hybrid Euler-Lagrange approach. Particuology, 16 (2014), pp. 29-40.
  7. Wang, H., et al., A comparison between direct numerical simulation and experiment of the turbulent burning velocity-related statistics in a turbulent methane-air premixed jet flame at high Karlovitz number, Proceedings of the Combustion Institute, 2017.
  8. González F., et al., CFD modeling of combustion of sugarcane bagasse in an industrial boiler, Fuel, 192 (2017), pp. 31-38.
  9. Lan, X., et al., Numerical Simulation of Transfer and Reaction Processes in Ethylene Furnaces, Chemical Engineering Research and Design, 85 (2007), 12, pp. 1565-1579.
  10. Shunli, Z., et al., Application of EDC-model in numerical simulation of 3-D combustion flows, Applied Science and Technology, 32 (2005), 4, pp. 48-50.
  11. Weijie, Y., et al., Experiments on Measurement of Temperature and Emissivity of Municipal Solid Waste (MSW) Combustion by Spectral Analysis and Image Processing in Visible Spectrum, Energy & fuels, 27 (2013), NOV.-DEC., pp. 6754-6762.
  12. Collazo, J., et al., Numerical modeling of the combustion of densified wood under fixed-bed conditions, Fuel, 93 (2012), 0, pp. 149-159.
  13. Gómez, M., et al., CFD modelling of thermal conversion and packed bed compaction in biomass combustion, Fuel, 117 (2014), Part A, pp. 716-732.
  14. Hjartstam, S., et al., Computational fluid dynamics modeling of oxy-fuel flames: the role of soot and gas radiation, Energy Fuels, 26 (2012), pp. 2786-2797.
  15. Ghadamgahi, M., et al., A comparative CFD study on simulating flameless oxy-fuel combustion in a pilot-scale furnace, Journal of combustion, 2016 (2016), pp. 6735971.1-6735971.11.
  16. Khare, S. P., et al., Moghtaderi B, Gupta RP. Factors influencing the ignition of flames from air-fired swirl pf burners retrofitted to oxy-fuel, Fuel, 87 (2008), pp. 1042-1049.
  17. Wang A. H., et al., Numerical simulation of combustion characteristics in high temperature air combustion furnace, Journal of Iron and Steel Research International, 16 (2009), 2, pp. 6-10.
  18. Chunhui L., et al., Effects of five different parameters on biodiesel hcci combustion in free-piston engine generator, Thermal Science, 25 (2021), 6, pp. 4197-4207.
  19. Samal, B. S., et al., Nurlan, R. K., Influence of turbulence on the efficiency and reliability of combustion chamber of the gas turbine, Thermal Science, 25 (2021), 6, pp. 4321-4332.
  20. Kun, L., et al., A computational method to solve for the heat conduction temperature field based on data-driven approach, Thermal Science, 26 (2022), 1, pp. 233-246.
  21. Mingyu, W., et al., Numerical simulation on the emission of NOx from the combustion of natural gas in the sidewall burner. Thermal Science, 26 (2022), 1, pp. 247-258.
  22. Kai XIE, et al., Numerical study on flame and emission characteristics of a small flue gas self-circulation diesel burner with different spray cone angles, Thermal Science, 26 (2022), 1, pp. 389-400.
  23. Ban, Q., et al., Brazing technology and common problem of refrigeration and air-conditioning system. Refrigeration and Air-Conditioning, 9 (2009), 4, pp. 98-100.
  24. Vázquez M., et al., The robustness issue on multigrid schemes applied to the Navier-Stokes equations for laminar and turbulent, incompressible and compressible flows, International Journal for Numerical Methods in Fluids, 45(2004), 5, pp. 555-579.
  25. Wilcox, D. C., Turbulence Modeling for CFD, DCW Industries, 2006.
  26. Magnussen, B. F., et al., On mathematical modeling of turbulent combustion with special emphasis on soot formation and combustion, Symposium on Combustion, 16(1977), 1, pp. 719-729.