Application of deep neural networks to the prediction of the ignition delay time of gasoline PRF and TRF surrogates with the addition of oxygenates for CFD engine simulations (Englisch)
- Neue Suche nach: Pulga, L.
- Neue Suche nach: Bianchi, G. M.
- Neue Suche nach: Cazzoli, G.
- Neue Suche nach: Mariani, V.
- Neue Suche nach: Forte, C.
- Neue Suche nach: Pulga, L.
- Neue Suche nach: Bianchi, G. M.
- Neue Suche nach: Cazzoli, G.
- Neue Suche nach: Mariani, V.
- Neue Suche nach: Forte, C.
In:
THIESEL 2020: Thermo- and Fluid Dynamic Processes in Direct Injection Engines : 8th-11th September : conference proceedings
; 195-206
;
2020
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ISBN:
- Aufsatz (Konferenz) / Elektronische Ressource
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Titel:Application of deep neural networks to the prediction of the ignition delay time of gasoline PRF and TRF surrogates with the addition of oxygenates for CFD engine simulations
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Beteiligte:Pulga, L. ( Autor:in ) / Bianchi, G. M. ( Autor:in ) / Cazzoli, G. ( Autor:in ) / Mariani, V. ( Autor:in ) / Forte, C. ( Autor:in )
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Kongress:THIESEL ; 11. ; 2020 ; Online
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Erschienen in:
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Verlag:
- Neue Suche nach: Editorial Univesitat Politécnica de Valéncia
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Erscheinungsort:Valéncia
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Erscheinungsdatum:2020
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ISBN:
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Medientyp:Aufsatz (Konferenz)
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Format:Elektronische Ressource
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Sprache:Englisch
- Neue Suche nach: 52.35
- Weitere Informationen zu Basisklassifikation
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Schlagwörter:
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Klassifikation:
BKL: 52.35 Kolbenkraftmaschinen -
Lizenzbestimmungen:
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Datenquelle:
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