EconPapers    
Economics at your fingertips  
 

Numerical Optimization of Scavenging in Two-Stroke Engines with Transfer Ducts, an Exhaust Port and a Moving Piston

D. Kröner (), L. Klassen, A. Klimmek and D. Trescher
Additional contact information
D. Kröner: Institute for Applied Mathematics, University of Freiburg
L. Klassen: Institute for Applied Mathematics, University of Freiburg
A. Klimmek: Fa. Andreas Stihl AG & Co
D. Trescher: Institute for Applied Mathematics, University of Freiburg

A chapter in Mathematics — Key Technology for the Future, 2003, pp 22-32 from Springer

Abstract: Abstract For the benefit of the environment, the HC-emission of two-stroke engines has to be reduced. This can be done by reducing the losses of scavenging by improving the geometry of the transfer ducts and the exhaust port. Numerical simulations of the flow through the two-stroke engine should be performed for different geometries in order to reveal the geometry with an optimal scavenge process. The simulations can help to accelerate the development of new two-stroke engines. The underlying mathematical model consists of the compressible Navier-Stokes equations in the cylinder with a moving piston. For the discretization we use a stabilized finite volume scheme on a hexahedral mesh. Up to now we have developed a numerical code for computing the flow in the cylinder and the most important integral quantities such as trapping efficiency and the percentage of exhaust gas at the exhaust port. Now we are able to analyze quantitatively the scavenge process and to estimate the quality of different drafts for the geometrical design.

Keywords: Posteriori Error Estimate; Trapping Efficiency; Hexahedral Mesh; Exhaust Pipe; Exhaust Port (search for similar items in EconPapers)
Date: 2003
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:978-3-642-55753-8_2

Ordering information: This item can be ordered from
http://www.springer.com/9783642557538

DOI: 10.1007/978-3-642-55753-8_2

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 ().

 
Page updated 2026-05-20
Handle: RePEc:spr:sprchp:978-3-642-55753-8_2