Abstract
Spray processes play a crucial role in liquid fueled combustion devices such as Diesel or fueled rocket engines and industrial furnaces. The combustion occurs under turbulent conditions, and a wide dynamic range of length and time scales characterize these processes, where the scales of the flow field and chemical reactions typically differ considerably. Moreover, a strong interdependence of liquid breakup and atomization, turbulent dispersion, droplet evaporation, and fuel-air mixing makes the spray modeling a challenging task. In the present chapter, a one-point one-time Eulerian statistical description of a joint mixture fraction—enthalpy probability density function (pdf) model for the gas phase is derived and modeled. A Lagrangian Monte Carlo method is used to solve the high-dimensional joint pdf transport equation. Two different mixing models, the interaction-by-exchange-with-the-mean and an extended modified Curl model, are employed in order to evaluate molecular mixing in the context of two-phase reacting flows. Moreover, a modified β function for application in turbulent spray flames, which has been proposed in an earlier study of non-reacting spray flows, is discussed in comparison with the standard β function and the transported pdf method. The modified β function is defined through two additional parameters compared to the standard form, and the choice of these parameters is discussed in the present study. A steady, two-dimensional, axisymmetric, turbulent liquid fuel/air spray flame is investigated, where both methanol and ethanol are studied. The numerical results are compared and discussed in context with the experimental data.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abramzon, B., Sirignano, W. A.: Droplet vaporization model for spray combustion calculation. Int. J. Heat Mass Transfer. 32, 1605–1618 (1989).
Anand, G., Jenny, P.: Stochastic modeling of evaporating sprays within a consistent hybrid joint PDF framework. J. Comput. Phys. 228, 2063–2081 (2009).
Atkins, P., Paula, J. D.: Atkins Physical Chemistry, Oxford Higher Education, 7th Edition, (2001).
Batchelor, G. K.: An Introduction to Fluid Dynamics. Cambridge University Press, London, (1967).
Cao, R. R., Wang, H., Pope, S. B.: The effect of mixing models in PDF calculations of piloted jet flames. Proc. Combust. Inst. 31, 1543–1550 (2007).
Crowe, C. T., Sharma, M. P., Stock, D. E.: The particle-source-in cell (PSI-Cell) model for gas-droplet flows. J. Fluids Eng. 99, 325–332 (1977).
Curl, R. L.: Dispersed phase mixing: 1. Theory and effects in simple reactor. AIChE J. 9(2), 175–181 (1963).
De, S., Lakshmisha, K. N., Bilger, R. W.: Modeling of nonreacting and reacting turbulent spray jets using a fully stochastic separated flow approach. Combust. Flame. 158, 1992–2008 (2011).
Demoulin, F. X., Borghi, R.: Assumed PDF modeling of turbulent spray combustion. Combust. Sci. Technol. 158, 249–271 (2000).
Dopazo, O., O’Brien, E. E.: An approach to the auto-ignition of a turbulent mixture. Acta Astronaut. 1, 1239–1266 (1974).
Durand, P., Gorokhovski, M., Borghi, R.: An application of the probability density function model to diesel engine combustion. Combust. Sci. Technol. 144, 47–78 (1999).
Düwel, I., Ge, H.-W., Kronemayer, H., Dibbel, R., Gutheil, E., Schulz, C.: Experimental and numerical characterization of a turbulent spray flame. Proc. Combust. Inst. 31, 2247–2255 (2007).
Eckstein, J., Chen, J. Y., Chou, C. P., Janicka, J.: Modeling of turbulent mixing in opposed jet configuration: one-dimensional Monte Carlo probability density function simulation. Proc. Combust. Inst. 28, 141–148 (2000).
Garg, R., Narayanan, C., Subramaniam, S.: A numerically convergent Lagrangian-Eulerian simulation method for dispersed two-phase flows. Int. J. Multiphase Flow. 35, 376–388 (2009).
Ge, H.-W., Gutheil, E.: PDF simulation of turbulent spray flows. Atomization Sprays. 16, 531–542 (2006).
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).
Ge, H.-W., Düwel, I., Kronemayer, H., Dibble, R. W., Gutheil, E., Schulz, C., Wolfrum, J.: Laser based experimental and Monte Carlo PDF numerical investigation of an ethanol/air spray flame. Combust. Sci. Technol. 180, 1529–1547 (2008).
Ge, H.-W., Hu, Y., Gutheil, E.: Joint gas-phase velocity-scalar PDF modeling for turbulent evaporating spray flows. Combust. Sci. Technol. 184, 1664–1679 (2012).
Gordon, R. L., Masri, A. R., Pope, S. B., Goldin, G. M.: A numerical study of auto-ignition in turbulent lifted flames issuing into vitiated co-flow. Combust. Theor. Model. 11, 351–376 (2007).
Gutheil, E.: Structure and extinction of laminar ethanol-air spray flames. Combust. Theor. Model. 5(2), 131–145 (2001).
Gutheil, E., Sirignano, W. A.: Counterflow spray combustion modeling with detailed transport and detailed chemistry. Combust. Flame. 113, 92–105 (1998).
Heye C. R., Raman, V., Masri, A. R.: LES/probability density function approach for the simulation of an ethanol spray flame. Proc. Combust. Inst. 34, 1633–1641 (2013).
Hollmann, C., Gutheil, E.: Modeling of turbulent spray diffusion flames including detailed chemistry. Proc. Combust. Inst. 26, 1731–1738 (1996).
Hollmann, C., Gutheil, E.: Flamelet-modeling of turbulent spray diffusion flames based on a laminar spray flame library. Combust. Sci. Technol. 135, 175–192 (1998).
Hubbard, G. L., Denny, V. E., Mills, A. F.: Droplet evaporation: effects of transient and variable properties. Int. J. Heat Mass Transfer. 18, 1003–1008 (1975).
Kung, E. H., Haworth, D. C.: Transported probability density function (tPDF) modeling for direct-injection internal combustion engines. SAE Paper 2008-01-0969; SAE Int. J. Engines. 1, 591-606 (2009).
Liu, Z. H., Zheng, C. G., Zhou, L. X.: A joint PDF model for turbulent spray evaporation/combustion. Proc. Combust. Inst. 29, 561–568 (2002).
Lundgren, T. S.: Model equation for non-homogeneous turbulence. Phys. Fluids. 12, 485–497 (1969).
Luo, K., Pitsch, H., Pai, M. G., Desjardins, O.: Direct numerical simulations and analysis of three dimensional n-heptane spray flames in a model swirl combustor. Proc. Combust. Inst. 33, 2143–2152 (2011).
Masri, A., Gounder, J.: Details and Complexities of Boundary Conditions in Turbulent Piloted Dilute Spray Jets and Flames. In: Bart, Merci, Dirk, Roekaerts and Amsini, Sadiki (Eds.), Experiments and Numerical Simulations of Diluted Spray Turbulent Combustion, 41–68, New York, Springer, (2011).
McDonell, V. G., Samuelsen, G. S.: An experimental data base for computational fluid dynamics of reacting and nonreacting methanol sprays. J. Fluids Eng. 117, 145–153 (1995).
Mehta R. S.: Detailed Modeling of soot formation and turbulence-radiation interactions in turbulent jet flames. Ph.D. thesis, The Pennsylvania State University, (2008).
Menon, S., Fureby, C.: Computational Combustion. In: Encyclopedia of Aerospace Engineering, Wiley, (2010).
Miller, R. S., Bellan, J.: On the validity of the assumed probability density function method for modeling binary mixing/reaction of evaporated vapor in gas-liquid turbulent shear flow. Proc. Combust. Inst. 27, 1065–1072 (1998).
Mortensen M., Bilger R.: Derivation of the conditional moment closure equation for spray combustion. Combust. Flame. 156, 62–72 (2009).
Naud, B.: PDF modeling of turbulent sprays and flames using a particle stochastic approach. Ph. D. Thesis, TU Delft, (2003).
Olguin, H., Gutheil, E.: Influence of evaporation on spray flamelet structures, Combust. Flame (2013), http://dx.doi.org/10.1016/j.combustflame.2013.10.010.
Pai, G. M., Subramaniam, S.: A comprehensive probability density function formalism for multiphase flows. J. Fluid Mech. 628, 181–228 (2009).
Peters, N.: Laminar diffusion flamelet models in non-premixed turbulent combustion. Prog. Energy Combust. Sci. 10, 319–339 (1984).
Pope, S. B.: The relationship between the probability approach and particle models for reaction in homogeneous turbulence. Combust. Flame. 35, 41–45 (1979).
Pope, S. B.: Transport equation for the joint probability density function of velocity and scalars in turbulent flow. Phys. Fluids. 24, 588–596 (1981).
Pope, S. B.: PDF methods for turbulent reactive flows. Prog. Energy Combust. Sci. 11, 119–192 (1985).
Raju, M. S.: Application of scalar Monte Carlo probability density function method turbulent spray flames. Numer. Heat Transfer A. 30, 753–777 (1996).
Richardson, J. M., Howard, H. C., Smith, R. W.:The relation between sampling-tube measurements and concentration fluctuations in a turbulent gas jet. Proc. Combust. Inst. 4 814–817, (1953).
Rumberg, O., Rogg, B.: Full PDF modeling of reactive sprays via an evaporation-progress variable. Combust. Sci. Technol. 158, 211–247 (2000).
Schiller, L., Neumann, A. Z.: A drag coefficient correlation. VDI Zeitschrift 77, 318–320 (1933).
Wang, H., Pope, S. B.: Lagrangian investigation of local extinction, re-ignition and auto-ignition in turbulent flames. Combust. Theory Modeling. 12, 857–882 (2008).
Zhu, M., Bray, K. N. C., Rumberg, O., Rogg, B.: PDF transport equations for two-phase reactive flows and sprays. Combust. Flame. 122, 327–338 (2000).
Acknowledgement
The authors gratefully acknowledge the financial support of Heidelberg School of Mathematical and Computational Sciences for their financial support. YH acknowledges funding through the China Scholarship Council.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Humza, R., Hu, Y., Gutheil, E. (2014). Probability Density Function Modeling of Turbulent Spray Combustion. In: Merci, B., Gutheil, E. (eds) Experiments and Numerical Simulations of Turbulent Combustion of Diluted Sprays. ERCOFTAC Series, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-319-04678-5_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-04678-5_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04677-8
Online ISBN: 978-3-319-04678-5
eBook Packages: EngineeringEngineering (R0)