The predictive capabilities of an innovative multizone combustion model DIPulse, developed by Gamma Technologies, were assessed in this work for a last generation common rail automotive diesel engine.A detailed validation process, based on an extensive experimental data set, was carried out concerning the predicted heat release rate, the in-cylinder pressure trace, as well as NOx and soot emissions for several operating points including both part load and full load points.After a preliminary calibration of the model, the combustion model parameters were then optimized through a Latin Hypercube Design of Experiment (DoE), with the aim of minimizing the RMS error between the predicted and experimental burn rate of several engine operating points, thus achieving a satisfactory agreement between simulation and experimental engine combustion and emissions parameters.
Assessment of the Predictive Capabilities of a Combustion Model for a Modern Common Rail Automotive Diesel Engine / Piano, Andrea; Millo, Federico; Boccardo, Giulio; Rafigh, Mahsa; Gallone, Alessandro; Rimondi, Marcello. - In: SAE TECHNICAL PAPER. - ISSN 0148-7191. - STAMPA. - 2016-(2016).
|Titolo:||Assessment of the Predictive Capabilities of a Combustion Model for a Modern Common Rail Automotive Diesel Engine|
|Data di pubblicazione:||2016|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.4271/2016-01-0547|
|Appare nelle tipologie:||1.1 Articolo in rivista|