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Development of a Predictive Zero-Dimensional Combustion Model for Diesel Premixed Combustion

Marco Criscione

Development of a Predictive Zero-Dimensional Combustion Model for Diesel Premixed Combustion.

Rel. Federico Millo. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2019

Abstract:

This master thesis presents a predictive physics-based zero-dimensional combustion model for Diesel premixed combustion. The main purpose driving the development of the presented combustion model has been its application for simulation of engine transient operation, in premixed combustion mode. During transient operation, pressure, temperature and gas composition in the cylinder are slightly different from the optimally designed steady-state values, because of their slow dynamics. These deviations could result in a combustion process producing high noise and pollutant emissions or even misfire; thus, they must be compensated by means of fast regulating parameters, such as injection timings and rail pressure, to achieve the desired combustion behavior. The proposed combustion model has been used to preliminary evaluate the performance of a model-based combustion controller during engine transient operation, before experimental investigations, contributing to shorter development times and cost reduction.

Relatori: Federico Millo
Anno accademico: 2018/19
Tipo di pubblicazione: Elettronica
Numero di pagine: 98
Informazioni aggiuntive: Tesi secretata. Fulltext non presente
Soggetti:
Corso di laurea: Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-33 - INGEGNERIA MECCANICA
Ente in cotutela: FEV Europe GmbH (GERMANIA)
Aziende collaboratrici: Fev gmbh
URI: http://webthesis.biblio.polito.it/id/eprint/11290
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