A High-Order Framework for Compressible Droplet Dynamics

Daniel Appel (), Pascal Mossier, Jens Keim, Steven Jöns (), Andrea Beck and Claus-Dieter Munz
Additional contact information
Daniel Appel: Institute of Aerodynamics and Gas Dynamics
Pascal Mossier: Institute of Aerodynamics and Gas Dynamics
Jens Keim: Institute of Aerodynamics and Gas Dynamics
Steven Jöns: Institute of Aerodynamics and Gas Dynamics
Andrea Beck: Institute of Aerodynamics and Gas Dynamics
Claus-Dieter Munz: Institute of Aerodynamics and Gas Dynamics

A chapter in High Performance Computing in Science and Engineering '23, 2026, pp 379-393 from Springer

Abstract: Abstract Due to the multiscale nature of two-phase flows, high-order methods are an essential tool to gain further understanding of droplet dynamics phenomena. However, the construction of robust and accurate high-order schemes is a challenging process due the lack of a stabilization mechanism. This is especially the case when compressible fluids are considered, for which discontinuities in the solution might occur and a complex interaction between fluid flow and thermodynamics is present. In the present work, recent results of our numerical framework for compressible droplet flows are presented. The numerical method is based on the high-order discontinuous Galerkin spectral element method and includes both a sharp and a diffuse interface approach. We investigate the parallel performance of our scheme in the most challenging case and consider several applications that include typical interfacial flow phenomena, e.g., evaporation and droplet collisions.

Date: 2026
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:978-3-031-91312-9_26

Ordering information: This item can be ordered from
http://www.springer.com/9783031913129

DOI: 10.1007/978-3-031-91312-9_26

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 ().