Mixing Models for Turbulent Flows with Exothermic Reactions

  • J.-Y. Chen
  • W. Kollmann
Conference paper

Abstract

The potential influence of age-biased sampling for mixing as suggested by Pope (1982) was investigated for turbulent reacting and nonreacting jet flows with a modified coalescence/dispersion (C/D) model. Age-biased sampling is found to have little influence on the predicted scalar statistics up to fourth moments. To account for the combined effects of mixing and chemical reaction on the joint probability density function (pdf), the modified C/D model is further improved by conditioning the mixing process on the existence of the reaction zone. Monte Carlo simulation of turbulent reacting jet flames with an ideal flame-sheet chemical model demonstrates that the proposed model is capable of predicting physically correct results in the flame-sheet combustion regime.

Keywords

Combustion Methane Convection Hydrocarbon Syngas 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chen, J.-Y., Kollmann, W. (1988): Pdf modeling of chemical nonequilibrium effects in turbulent nonpremixed hydrocarbon flames. Twenty-second Symposium (International) on Combustion/The Combustion Institute, p. 645Google Scholar
  2. Chen, J.-Y., Kollmann, W. (1989): Chemical models for pdf modeling of hydrogen-air nonpremixed turbulent flames. Combust. Flame, accepted for publicationGoogle Scholar
  3. Chen, J.-Y., Kollmann, W., Dibble, R. W. (1989): Pdf modeling of turbulent non-premixed methane jet flames. Combust. Sci. Tech. 64, 315CrossRefGoogle Scholar
  4. Correa, S. M., Gulati, A., Pope, S. B. (1988): Assessment of a partial equilibrium/Monte Carlo Model for turbulent syngas flames. Combust. Flame, 72, 159CrossRefGoogle Scholar
  5. Curl, R. L. (1963): Dispersed phase mixing: I. Theory and effects of simple reactors. A.I.Ch.E.J. 9, 175Google Scholar
  6. Haworth, D. C., Drake, M. C., Pope, S. B., Blint, R. J. (1988): The importance of time-dependent flame structures in stretched laminar flamelet models for turbulent jet diffusion flames. Twienty-second Symposium (International) on Combustion/The Combustion Institute, p. 589Google Scholar
  7. Janicka, J., Kolbe, W., Kollmann, W. (1979): Closure of the transport equation for the probability density function scalar field. J. Non-Equilib. Thermodyn. 4, 47ADSMATHCrossRefGoogle Scholar
  8. Kosaly, G. (1986): Theoretical remarks on a phenomenological model of turbulent mixing. Combust. Sci. Tech. 49, 227CrossRefGoogle Scholar
  9. Kosaly, G., Givi, P. (1987): Modeling of turbulent molecular mixing. Combust. Flame 70, 101ADSCrossRefGoogle Scholar
  10. Pope, S. B. (1982): An improved turbulent mixing model. Combust. Sci. Tech. 28, 131ADSCrossRefGoogle Scholar
  11. Pope, S. B., Correa, S. M. (1986): Joint pdf calculations of a nonequilibrium turbulent diffusion flame. Twenty-first Symposium (International) on Combustion/The Combustion Institute, p. 1341Google Scholar
  12. Pope, S. B., Norris, A., Masri, A. R. (1989): Mixing models for turbulent diffusion flames with finite rate kinetics, presented at the Twelfth Meeting of the Sandia Cooperative Group on the Aerothermochemistry of Turbulent Combustion, Sandia Report SAND89-8220Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • J.-Y. Chen
    • 1
  • W. Kollmann
    • 1
    • 2
  1. 1.Combustion Research FacilitySandia National LaboratoriesLivermoreUSA
  2. 2.Department of Mechanical EngineeringU.C. DavisUSA

Personalised recommendations