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Combustion of Kerosene in Counterflow Diffusion Flames

Authors: P. M. Patterson; A. G. Kyne; M. Pourkashanian; A. Williams; C. W. Wilson;

Combustion of Kerosene in Counterflow Diffusion Flames

Abstract

Numerical modeling has become an essential tool in combustion research as a means of predicting combustion performance and pollutant formation, e.g., NO x and soot. In many combustion models the combustion of a commercial fuel such as kerosene has been represented by single-step empirical expressions. To predict kinetically controlled phenomena, a more detailed chemical kinetic reaction mechanism is required. This paper reports the development of such a mechanism for kerosene, where, for the purposes of modeling, kerosene is assumed to be 89%n-decane and 11% toluene. The mechanism is initially validated against experimental jet stirred reactor and rich premixed e ame studies to yield satisfactory results. The chemical structure of countere ow diffusion e ames is computed using the same mechanism. The effect on the e ame structure of increasing both the pressure and the strain rate is explored. The inclusion of a model for thermal radiation using the optically thin approximation demonstrates the large radiative heat losses encountered as the pressure is increased. The calculations form the foundation ofa e ameletlibraryforthemodelingofturbulentnonpremixed combustion ofkeroseneunderpractical conditions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
40
Top 10%
Top 10%
Average
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