Reactive Flows

Dietmar Kröner
Additional contact information
Dietmar Kröner: Albert-Ludwigs-Universität, Institut für Angewandte Mathematik

A chapter in High Performance Computing in Science and Engineering ’98, 1999, pp 341-341 from Springer

Abstract: Abstract Design and optimization of industrial processes and equipments have been based on pure empirical and experimental experience for many years. Now, because of the enormous improvement of hardware resources like parallel computers and algorithmical tools, we are able to study complex multidimensional industrial processes by simulation, and to develop a new platform for the fundamental understanding of problems with high complexity and for the optimal design of industrial systems. The response time for realistic simulations is now of an acceptable order, such that extensive parameter studies can be performed. The fascinating progress in hardware resources and algorithmical tools require further research for combining both. E. g. the dynamical load balancing is still an area which has to be improved.

Keywords: Direct Numerical Simulation; Reactive Flow; Hardware Resource; Turbulent Combustion; Reynolds Stress Model (search for similar items in EconPapers)
Date: 1999
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:978-3-642-58600-2_32

Ordering information: This item can be ordered from
http://www.springer.com/9783642586002

DOI: 10.1007/978-3-642-58600-2_32

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 ().