Large Eddy Simulation of the Cyclic Variations in an Internal Combustion Engine

F. Magagnato, A. Walcker and M. Gabi
Additional contact information
F. Magagnato: KIT
A. Walcker: KIT
M. Gabi: KIT

A chapter in High Performance Computing in Science and Engineering '10, 2011, pp 385-392 from Springer

Abstract: Abstract A Large-Eddy Simulation of several cycles of a spark-ignition engine with port fuel injection has been performed. The investigated engine is a modified Rotax-engine with one cylinder and four valves, built and measured (Heidenreich, Private communication) by the Institute of Reciprocating Engines of the University of Karlsruhe (IFKM). A recently modified (Magagnato et al., 2008) progress variable combustion model of Schmid et al., 1998 has been used in this computation. A subgrid-scale model for the LES recently proposed by Stolz (Stolz et al., 2003) called High-pass filtered Eddy-Viscosity model has been employed, which appears to be ideal for moving meshes. In order to predict cyclic variations of the combustion process, an additional transport equation for the mixing of the fuel to air ratio inside the combustion chamber is proposed and investigated in this paper. The predicted cylinder pressure vs. crank angle is then compared to measured results (Heidenreich, Private communication).

Keywords: CFD; LES; ICE; cyclic variation; combustion (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-15748-6_29

Ordering information: This item can be ordered from
http://www.springer.com/9783642157486

DOI: 10.1007/978-3-642-15748-6_29

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().