Applying genetic algorithms to decision making of injection strategies in a GDI engine (Contributo in atti di convegno)

Type
Label
  • Applying genetic algorithms to decision making of injection strategies in a GDI engine (Contributo in atti di convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Alternative label
  • M.Costa, U.sorge, A.Montanaro, L.Allocca (2013)
    Applying genetic algorithms to decision making of injection strategies in a GDI engine
    in 3rd International Conference on Soft Computing Technology in Civil, Structural and Environmental Engioneering, Cagliari (Italy), 3-6- settembre 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • M.Costa, U.sorge, A.Montanaro, L.Allocca (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • -- (literal)
Titolo
  • Applying genetic algorithms to decision making of injection strategies in a GDI engine (literal)
Abstract
  • The effects of single or double injection strategies on the performance of a 4-cylinder, 4-valve, 4-stroke GDI engine are numerically analyzed. A properly developed 3D engine model is employed. The runs of the 3D model are driven by the MOGA-II algorithm to search for the injection strategy and spark advance that are shown optimal for the combustion development. After the optimal injection pressure for a single injection event is identified, the gasoline supply is considered as subdivided into two successive parts, each delivering the same mass of gasoline. The optimization algorithm is used to explore the actual advantages of modulating the mixture formation for low consumption and reduced environmental impact. The performed computations also allow highlighting interesting aspects, as the adverse phasing of the engine occurring under certain circumstances (literal)
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Prodotto
Autore CNR di
Insieme di parole chiave di
data.CNR.it