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A 5-Zone Model to Improve the Diagnosis Capabilities of a Rapid Compression-Expansion Machine (RCEM) in Autoignition Studies

Authors: Jose M Desantes; J. Javier Lopez; Jose M Garcia-Oliver; Dario Lopez-Pintor;

A 5-Zone Model to Improve the Diagnosis Capabilities of a Rapid Compression-Expansion Machine (RCEM) in Autoignition Studies

Abstract

<div class="section abstract"><div class="htmlview paragraph">In this work, a 5-zone model has been applied to replicate the in-cylinder conditions evolution of a Rapid Compression-Expansion Machine (RCEM) in order to improve the chemical kinetic analyses by obtaining more accurate simulation results. To do so, CFD simulations under motoring conditions have been performed in order to identify the proper number of zones and their relative volume, walls surface and temperature. Furthermore, experiments have been carried out in an RCEM with different Primary Reference Fuels (PRF) blends under homogeneous conditions to obtain a database of ignition delays and in-cylinder pressure and temperature evolution profiles. Such experiments have been replicated in CHEMKIN by imposing the heat losses and volume profiles of the experimental facility using a 0-D 1-zone model. Then, the 5-zone model has been analogously solved and both results have been compared to the experimental ones. The thermodynamic conditions can be much better replicated using the 5-zone model. Moreover, the ignition delay predictive accuracy has been also improved in the 5-zone model, since slower and more realistic pressure rise rates are reached.</div></div>

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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!
2
Average
Average
Average
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