Modelling paradigms for MILD combustion
International Journal of Advances in Engineering Sciences and Applied Mathematics
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Minamoto, Y., & Swaminathan, S. (2014). Modelling paradigms for MILD combustion. International Journal of Advances in Engineering Sciences and Applied Mathematics, 6 65-75. https://doi.org/10.1007/s12572-014-0106-x
Three-dimensional Direct Numerical Simulation (DNS) data of methane-air MILD combustion is analysed to study the behaviour of MILD reaction zones and to identify a suitable modelling paradigm for MILD combustion. The combustion kinetics in the DNS was modelled using a skeletal mechanism including non-unity Lewis number effects. The reaction zones under MILD conditions are highly convoluted and contorted resulting in their frequent interactions. This leads to combustion occurring over a large portion of the computational volume and giving an appearance of distributed combustion. Three paradigms, standard flamelets, mild flame elements (MIFEs) and PSR, along with a presumed PDF model are explored to estimate the mean and filtered reaction rate in MILD combustion. A beta function is used to estimate the presumed PDF shape. The variations of species mass fractions and reaction rate with temperature computed using thesemodels are compared to the DNS results. The PSR-based model is found to be appropriate, since the conditional averages obtained from the DNS agree well with those obtained using the PSR model. The flamelets model with MIFEs gives only a qualitative agreement because it does not include the effects of reaction zone interactions.
MILD combustion, Flameless combustion, Direct numerical simulation (DNS), Perfectly stirred reactor (PSR), presumed PDF, LES, RANS, Modelling
YM acknowledges the financial support of Nippon Keidanren and Cambridge Overseas Trust. EPSRC support is acknowledged by NS. This work made use of the facilities of HECToR, the UK’s national high-performance computing service, which is provided by UoE HPCx Ltd at the University of Edinburgh, Cray Inc and NAG Ltd, and funded by the Office of Science and Technology through EPSRCs High End Computing Programme.
External DOI: https://doi.org/10.1007/s12572-014-0106-x
This record's URL: https://www.repository.cam.ac.uk/handle/1810/246762