Machine Learning-Based Identification Strategy of Fuel Surrogates for the CFD Simulation of Stratified Operations in Low Temperature Combustion Modes

Many researchers in industry and academia are showing an increasing interest in the definition of fuel surrogates for Computational Fluid Dynamics simulation applications. This need is mainly driven by the necessity of the engine research community to anticipate the effects of new gasoline formulati...

Szczegółowa specyfikacja

Opis bibliograficzny

Główni autorzy:	Valerio Mariani, Leonardo Pulga, Gian Marco Bianchi, Stefania Falfari, Claudio Forte
Format:	Artigo
Język:	Inglês
Wydane:	MDPI AG 2021-07-01
Seria:	Energies
Hasła przedmiotowe:	stratified fuel surrogate fuel gasoline surrogate Bayesian algorithm machine learning
Dostęp online:	https://www.mdpi.com/1996-1073/14/15/4623
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!