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Numerical prediction of air-assisted primary atomization using Smoothed Particle Hydrodynamics

Braun, Samuel 1; Wieth, Lars 2; Holz, Simon 2; Dauch, Thilo F. 2; Keller, Marc C. 2; Chaussonnet, Geoffroy 2; Gepperth, Sebastian 2; Koch, Rainer 2; Bauer, Hans-Jörg
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)
2 Institut für Thermische Strömungsmaschinen (ITS), Karlsruher Institut für Technologie (KIT)

Abstract:

The well defined atomization of liquid fuels plays a key role in the combustion process of civil jet engines, in particular for minimizing toxic emissions. Presently, the breakup mechanisms leading to a wide range of droplet sizes and trajectories are not understood in detail. Furthermore, reliable numerical predictions have not been feasible due to the enormous computational costs associated with the simulation of air-assisted atomization. In this paper we present a Direct Numerical Simulation (DNS) of an experimentally investigated planar prefilming air-blast atomizer at one operating point. The numerical investigation is carried out using the Smoothed Particle Hydrodynamics (SPH) method. The spatial resolution of 5 μm yields a domain size of 1.2 billion particles. Due to the superior serial and parallel performance of the method, 122 channel flow-through times of the air flow could be realized consuming a rather small amount of computational resources. Within the simulated physical period of time of 14.6 ms, two main breakup events could be detected. As a converged statistical analysis of the resulting fuel spray properties is not possible, the quantitative comparison to the experimental findings is based on single event statistics. ... mehr


Originalveröffentlichung
DOI: 10.1016/j.ijmultiphaseflow.2019.03.008
Scopus
Zitationen: 34
Web of Science
Zitationen: 26
Dimensions
Zitationen: 32
Zugehörige Institution(en) am KIT Institut für Thermische Strömungsmaschinen (ITS)
Scientific Computing Center (SCC)
Universität Karlsruhe (TH) – Zentrale Einrichtungen (Zentrale Einrichtungen)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 05.2019
Sprache Englisch
Identifikator ISSN: 0301-9322
KITopen-ID: 1000093405
Erschienen in International journal of multiphase flow
Verlag Elsevier
Band 114
Seiten 303–315
Nachgewiesen in Dimensions
Web of Science
Scopus
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