Application of Tunable-Slip Boundary Conditions in Particle-Based Simulations
Jiajia Zhou (),
Jens Smiatek,
Evgeny S. Asmolov,
Olga I. Vinogradova and
Friederike Schmid ()
Additional contact information
Jiajia Zhou: Johannes Gutenberg-Universität Mainz, Institut für Physik
Jens Smiatek: Universität Stuttgart, Institut für Computerphysik
Evgeny S. Asmolov: Russian Academy of Science, A.N. Frumkin Institute of Physical Chemistry and Electrochemistry
Olga I. Vinogradova: Russian Academy of Science, A.N. Frumkin Institute of Physical Chemistry and Electrochemistry
Friederike Schmid: Johannes Gutenberg-Universität Mainz, Institut für Physik
A chapter in High Performance Computing in Science and Engineering ‘14, 2015, pp 19-30 from Springer
Abstract:
Abstract Compared to macroscopic systems, fluids on the micro- and nanoscales have a larger surface-to-volume ratio, thus the boundary condition becomes crucial in determining the fluid properties. No-slip boundary condition has been applied successfully to wide ranges of macroscopic phenomena, but its validity in microscopic scale is questionable. A more realistic description is that the flow exhibits slippage at the surface, which can be characterized by a Navier slip length. We present a tunable-slip method by implementing Navier boundary condition in particle-based computer simulations (Dissipative Particle Dynamics as an example). To demonstrate the validity and versatility of our method, we have investigated two model systems: (i) the flow past a patterned surface with alternating no-slip/partial-slip stripes and (ii) the diffusion of a spherical colloidal particle.
Keywords: Colloidal Particle; Couette Flow; Slip Length; Dissipative Particle Dynamics; Small Length Scale (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_2
Ordering information: This item can be ordered from
http://www.springer.com/9783319108100
DOI: 10.1007/978-3-319-10810-0_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 ().