Evaluation of Flame Area Based on Detailed Chemistry DNS of Premixed Turbulent Hydrogen-Air Flames in Different Regimes of Combustion
- 148 Downloads
Precise evaluation of flame surface area plays a pivotal role in the fundamental understanding and accurate modelling of turbulent premixed flames. This necessity is reflected in the requirement for the instantaneous flame area evaluation of the turbulent burning velocity (by making use of Damköhler’s first hypothesis). Moreover, the information regarding flame area is required in the context of flame surface density based modelling, and for determining the wrinkling factor or estimating the efficiency function. Usually flame surface areas in experiments and Direct Numerical Simulation (DNS) analyses are evaluated differently and the present analysis aims at comparing these approaches by making use of a detailed chemistry DNS database of turbulent, statistically planar flames. It has been found that the flame surface area evaluation is sensitive to the choice of scalar quantity and the isosurface level, and this holds particularly true for two-dimensional evaluations. The conditions, which provide a satisfactory agreement between experimental and numerical approaches in the flame area evaluation, have been identified by a detailed comparative analysis of the usual postprocessing techniques.
KeywordsDetailed chemistry direct numerical simulation Damköhler’s first hypothesis Turbulent flame area Experimental postprocessing Flame surface density
The authors are grateful to EPSRC, UK, the German Research Foundation (DFG, KL1456/5–1; DFG 237267381 – TRR 150) and competitive research funding from King Abdullah University of Science and Technology (KAUST) for financial support. Computational support by ARCHER, Rocket HPC, KAUST Supercomputing Laboratory is also gratefully acknowledged.
Compliance with Ethical Standards
This work did not involve any active collection of human data.
We have no competing interests.
- 1.Peters, N.: Turbulent Combustion. Cambridge University Press (2000)Google Scholar
- 2.Poinsot T. and Veynante D., Theoretical and Numerical Combustion, R T Edwards, (2005)Google Scholar
- 7.Chakraborty, N., Alwazzan, D., Klein, M., Cant, R.S., On the validity of Damköhler’s first hypothesis in turbulent Bunsen burner flames: A computational analysis, Proc. Combust. Inst., 37 (2018)Google Scholar
- 8.Hawkes, E.R., and Cant, R.S., Implications of a flame surface density approach to large eddy simulation of premixed turbulent combustion. Combust. Flame, 126(3), 1617–1629. 590 https://doi.org/10.1016/S0010-2180(01)00273-5, (2001)
- 9.Nivarti G., Cant S., Direct Numerical Simulation of the bending effect in turbulent premixed flames. Proc. Combust. Inst., 36. 1903–1910, (2017)Google Scholar
- 10.Ahmed, U., Chakraborty, N. and Klein, M., Insights into the Bending Effect in Premixed Turbulent Combustion Using the Flame Surface Density Transport, Combust. Sci. Technol., accepted, (2019)Google Scholar
- 15.Im, H.G., Arias, P.G., Chaudhuri, S., Uranakara, H.A.: Direct Numerical Simulations of Statistically Stationary Turbulent Premixed Flames, 10th Asia-Pacific Conference on Combustion, Topical Review, July 19–22. Beijing, China (2015)Google Scholar
- 16.Burke, M.P., Chaos, M., Ju, Y., Dryer, F.L., Klippenstein, S.J.: Comprehensive H2-O2 kinetic model for high-pressure combustion. I. J. Chem. Kin. 444-472, (2012)Google Scholar
- 20.Rogallo, R.S.: Numerical experiments in homogeneous turbulence. NASA Ames Research Center Report No. 81315, (1981)Google Scholar
- 30.Haworth, D.C.: Applications of turbulent combustion modelling, turbulent combustion, lecture series 2003-04, von Karman Institute for Fluid Dynamics. March. 17-21, (2003)Google Scholar
- 32.Utkarsh, A.: The ParaView Guide: a Parallel Visualization Application, pp. 978–1930934306. Kitware, ISBN (2015)Google Scholar
- 36.Canny, J.: A computational approach to edge detection. Readings in Computer Vision, Morgan Kaufmann Publishers. 184-203, (1987)Google Scholar