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A Probabilistic Model for the Ignition of a Monodisperse Fuel Spray
Journal article   Peer reviewed

A Probabilistic Model for the Ignition of a Monodisperse Fuel Spray

DANIEL L. Dietrich, NICHOLAS P. Cernansky, ALLEN M. Danis and IZAK Namer
Combustion science and technology, v 79(4-6), pp 325-330
01 Oct 1991
DOI: https://doi.org/10.1080/00102209108951773

Abstract

Recent experimental work in the area of spark ignition of hydrocarbon fuel sprays has demonstrated that it is impossible to define a unique minimum ignition energy. Instead there exists a range of energies over which ignition becomes more or less probable. In connection with recent experimental and modelling work studying the spark ignition of a monodisperse fuel spray, a model has been developed to predict the ignition frequency based on the variation of the spark energy and the instantaneous spark gap equivalence ratio. Random normal distributions of these two parameters were generated with a Monte Carlo routine and used in conjunction with a Characteristic Time Model for ignition. The resulting ignition frequency simulations were nearly identical to the experimentally observed values, supporting the hypothesis that the probabilistic nature of spray ignition is the result of variations in the energy levels of individual sparks and the random distribution of droplets in the fuel spray.

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3 citations in Web of Science
4 citations in Scopus

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Collaboration types
Industry collaboration
Domestic collaboration
Web of Science research areas
Energy & Fuels
Engineering, Chemical
Engineering, Multidisciplinary
Thermodynamics
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