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Numerical simulation of the Sandia Flame D using the ESF method coupled with FGM model

  • Yifan Duan
  • Zhixun Xia
  • Likun Ma
  • Zhenbing Luo
Article
  • 72 Downloads

Abstract

In this paper, we combine the Eulerian stochastic field (ESF) model with flamelet generated manifolds (FGM) model to achieve a new type of turbulent combustion flamelet model with high accuracy under consideration of the detailed chemical reaction mechanism. It solves the limitations of using the presumed PDF model in the original FGM model and the problems of the FGM model in the promotion of the use of non-applicability and other issues. Using OpenFOAM software and Sandia Flame D experimental data to complete the model to achieve and verify. The results show: the simulation results of the new model are good, which can accurately simulate the axial and radial temperature and the distribution of the mass fraction of the main components, and the accuracy is better than the original FGM model; with the increase of the number of stochastic fields in the ESF model, the accuracy of simulation is continuously improved; when the number of stochastic fields increases to a certain value, the simulation results are stable within a certain range of variation. The above results show that the model is effective for this type of flame simulation and has good prospects for simulating a more complex flame.

Keywords

Turbulent combustion Flamelet generated manifold model Eulerian stochastic field methods OpenFOAM 

Notes

Acknowledgements

The research was founded within the Project No. 51706241 entitled: “Investigation on the mechanism of droplet/flame interaction and flamelet modeling of turbulent spray combustion” supported by the National Natural Science Foundation of China.

References

  1. 1.
    Pope, S.B.: Small scales, many species and the manifold challenges of turbulent combustion. Proc. Combust. Inst. 34, 1–31 (2013)CrossRefGoogle Scholar
  2. 2.
    Bekdemir, C., Somers, L.M.T., Goey, L.P.H.D.: Modeling diesel engine combustion using pressure dependent flamelet generated manifolds. Proc. Combust. Inst. 33, 2887–2894 (2011)CrossRefGoogle Scholar
  3. 3.
    Donini, A., Bastiaans, R., Oijen, J.A.V., Goey, P.D.: Numerical simulations of a turbulent high-pressure premixed cooled jet flame with the flamelet generated manifolds technique. J. Eng. Gas Turbines Power 137, 071501 (2015)CrossRefGoogle Scholar
  4. 4.
    Ma, L., Roekaerts, D.: Modeling of spray jet flame under MILD condition with non-adiabatic FGM and a new conditional droplet injection model. Combust. Flame 165, 402–423 (2016)CrossRefGoogle Scholar
  5. 5.
    Bray, K.N.C., Champion, M., Libby, P.A., Swaminathan, N.: Finite rate chemistry and presumed PDF models for premixed turbulent combustion. Combust. Flame 146, 665–673 (2006)CrossRefGoogle Scholar
  6. 6.
    Ge, H.W., Gutheil, E.: Simulation of a turbulent spray flame using coupled PDF gas phase and spray flamelet modeling. Combust. Flame 153, 173–185 (2008)CrossRefGoogle Scholar
  7. 7.
    Ma, L., Roekaerts, D.: Numerical study of the multi-flame structure in spray combustion. Proc. Combust. Inst. 36(2), 2603–2613 (2016)CrossRefGoogle Scholar
  8. 8.
    Nmira, F., Burot, D., Consalvi, J.L.: Stochastic Eulerian field method for radiative heat transfer in a propane oxygen-enhanced turbulent diffusion flame. Combust. Theor. Model. 21, 62–78 (2016)CrossRefGoogle Scholar
  9. 9.
    Consalvi, J.L., Nmira, F., Burot, D.: Simulations of sooting turbulent jet flames using a hybrid flamelet/stochastic Eulerian field method. Combust. Theor. Model. 20, 1–37 (2017)Google Scholar
  10. 10.
    Di Renzo, M., Coclite, A., de Tullio, M.D., De Palma, P., Pascazio, G.: LES of the Sandia Flame D using an FPV combustion model. Energy Procedia 82, 402–409 (2015)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Yifan Duan
    • 1
  • Zhixun Xia
    • 1
  • Likun Ma
    • 1
  • Zhenbing Luo
    • 1
  1. 1.College of Aerospace Science and TechnologyNational University of Defense TechnologyChangshaChina

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