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Experimental and numerical analysis on two-phase induced low-speed pre-ignition

Zöbinger, N.; Schweizer, Thorsten 1; Lauer, T.; Kubach, Heiko 1; Koch, Thomas 1
1 Institut für Kolbenmaschinen (IFKM), Karlsruher Institut für Technologie (KIT)

Abstract:

The root cause of the initial low-speed pre-ignition (LSPI) is not yet clarified. The literature data suggest that a two-phase phenomenon is most likely triggering the unpredictable premature ignitions in highly boosted spark-ignition engines. However, there are different hypotheses regarding the actual initiator, whether it is a detached liquid oil-fuel droplet or a solid-like particle from deposits. Therefore, the present work investigates the possibility of oil droplet-induced pre-ignitions using a modern downsized engine with minimally invasive endoscopic optical accessibility incorporating in-cylinder lubrication oil detection via light-induced fluorescence. This setup enables the differentiation between liquid and solid particles. Furthermore, the potential of hot solid particles to initiate an ignition under engine-relevant conditions is analyzed numerically. To do so, the particle is generalized as a hot surface transferring heat to the reactive ambient gas phase. The gas-phase reactivity is represented as a TRF/air mixture based on RON/MON specifications of the investigated fuel. The chemical processes are predicted using a semi-detailed reaction mechanism, including 137 species and 633 reactions in a 2D CFD simulation framework. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000137460
Originalveröffentlichung
DOI: 10.3390/en14165063
Scopus
Zitationen: 3
Web of Science
Zitationen: 3
Dimensions
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Kolbenmaschinen (IFKM)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1996-1073
KITopen-ID: 1000137460
Erschienen in Energies
Verlag MDPI
Band 14
Heft 16
Seiten Art.-Nr.: 5063
Vorab online veröffentlicht am 17.08.2021
Nachgewiesen in Scopus
Web of Science
Dimensions
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