Mesoscale Simulations of Fluid-Fluid Interfaces

T. Krüger, S. Frijters, F. Günther, B. Kaoui and Jens Harting ()
Additional contact information
T. Krüger: Eindhoven University of Technology, Department of Applied Physics
S. Frijters: Eindhoven University of Technology, Department of Applied Physics
F. Günther: Eindhoven University of Technology, Department of Applied Physics
B. Kaoui: Eindhoven University of Technology, Department of Applied Physics
Jens Harting: Eindhoven University of Technology, Department of Applied Physics

A chapter in High Performance Computing in Science and Engineering ‘14, 2015, pp 545-558 from Springer

Abstract: Abstract Fluid-fluid interfaces appear in numerous systems of academic and industrial interest. Their dynamics is difficult to track since they are usually deformable and of not a priori known shape. Computer simulations pose an attractive way to gain insight into the physics of interfaces. In this report we restrict ourselves to two classes of interfaces and their simulation by means of numerical schemes coupled to the lattice Boltzmann method as a solver for the hydrodynamics of the problem. These are the immersed boundary method for the simulation of vesicles and capsules and the Shan-Chen pseudopotential approach for multi-component fluids in combination with a molecular dynamics algorithm for the simulation of nanoparticle stabilized emulsions. The advantage of these algorithms is their inherent locality allowing to develop highly scalable codes which can be used to harness the computational power of the currently largest available supercomputers.

Keywords: Inclination Angle; Capillary Number; Lattice Boltzmann Method; Lattice Boltzmann; Immerse Boundary Method (search for similar items in EconPapers)
Date: 2015
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:978-3-319-10810-0_36

Ordering information: This item can be ordered from
http://www.springer.com/9783319108100

DOI: 10.1007/978-3-319-10810-0_36

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 ().