Wenning Zhou
Lattice Boltzmann parallel simulation of microflow dynamics over structured surfaces
Zhou, Wenning; Yan, Yuying; Liu, Xunliang; Liu, Baiqian
Authors
Professor YUYING YAN YUYING.YAN@NOTTINGHAM.AC.UK
PROFESSOR OF THERMOFLUIDS ENGINEERING
Xunliang Liu
Baiqian Liu
Abstract
In the present work, a parallel lattice Boltzmann multiphase model was developed to investigate the effects of surface structures on wettabilities and flow dynamics in a microchannel. The theory of wetting transition was firstly discussed. Then three types including triangular, rectangle and hierarchical shaped microstructures were constructed on the surface to examine the effects on wettabilities and drag reduction. It was found that flow behaviour is strongly affected by the surface morphology of the channel. The results indicated that hierarchical structures on the surface could improve the hydrophobicity significantly. For rectangular structures, they can improve the hydrophobicity with the increase of height and distance ratio h/d of the structures, and the improvement will reach its optimal hydrophobicity when the value h/d is over a certain value of 0.6. Moreover, to accelerate computational speed, the Open Multi-Processing (OpenMP) was employed for the parallelization of the model. A maximum speedup of 2.95 times was obtained for 4 threads on a multi-core CPU platform.
Citation
Zhou, W., Yan, Y., Liu, X., & Liu, B. (in press). Lattice Boltzmann parallel simulation of microflow dynamics over structured surfaces. Advances in Engineering Software, https://doi.org/10.1016/j.advengsoft.2017.02.001
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 19, 2017 |
Online Publication Date | Feb 24, 2017 |
Deposit Date | Mar 3, 2017 |
Publicly Available Date | Mar 3, 2017 |
Journal | Advances in Engineering Software |
Print ISSN | 0965-9978 |
Electronic ISSN | 1873-5339 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1016/j.advengsoft.2017.02.001 |
Public URL | https://nottingham-repository.worktribe.com/output/844552 |
Publisher URL | http://www.sciencedirect.com/science/article/pii/S0965997816304033 |
Contract Date | Mar 3, 2017 |
Files
2017-AES-LBM (WNZ YYY).pdf
(785 Kb)
PDF
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