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

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...

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Bibliographic Details
Main Authors: Valerio Mariani, Leonardo Pulga, Gian Marco Bianchi, Stefania Falfari, Claudio Forte
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Energies
Subjects:
stratified fuel
surrogate fuel
gasoline surrogate
Bayesian algorithm
machine learning
Online Access:https://www.mdpi.com/1996-1073/14/15/4623

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https://www.mdpi.com/1996-1073/14/15/4623

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