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Numerical study of multi-dimensional effects in Rapid Compression Machines

Authors: Bourgeois, Nicolas;

Numerical study of multi-dimensional effects in Rapid Compression Machines

Abstract

Due to the increasingly stringent regulations in terms of pollutant emissions, and to the urgent need to reduce our carbon dioxide emissions, novel combustion techniques are developed. They mostly consist in the use of well-mixed and highly diluted mixtures. In such conditions, the chemical kinetics and the auto-ignition properties of the fuel play a key role in the combustion process. Therefore, the accurate characterization of fuels has become an essential need for the development of next-generation combustion devices. The Rapid Compression Machine (RCM) is one of the most suited experimental apparatus to contribute to the understanding of auto-ignition chemistry. The RCM rapidly compresses a reactive mixture, typically using a piston which remains fixed at the end of the compression; after a certain delay, the mixture auto-ignites. In order to properly interpret experimental data obtained from RCMs, the thermodynamic state of the reaction chamber has to be well-characterized. In this thesis, the main sources of potential misinterpretation of RCM results are studied. Basically, any multi-dimensional effect can affect the auto-ignition process and uniform conditions inside the reaction chamber are therefore pursued. This is essentially achieved through the use of a piston having some crevice on its periphery. The two main contributions of this work are, first, the development of a method allowing to verify that the crevice design is adequate and allows to effectively generate an homogeneous temperature field inside the reaction chamber. Second, the influence of the crevice and of its potential containment on the auto-ignition is quantified, more specifically in the case of two-stage ignition processes. (FSA - Sciences de l'ingénieur) -- UCL, 2017

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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!
0
Average
Average
Average
Green