Michail Tsompanas Antisthenis.Tsompanas@uwe.ac.uk
Lecturer in Computer Science
Michail Tsompanas Antisthenis.Tsompanas@uwe.ac.uk
Lecturer in Computer Science
Andrew Adamatzky Andrew.Adamatzky@uwe.ac.uk
Professor
© 2018 Elsevier B.V. Fluidic devices use fluid as a medium for information transfer and computation. Boolean values are represented by the presence of fluid jets in the input and output channels. Velocity of a fluid is one of the parameters determining Reynolds number of the flow. Reynolds number is a parameter that characterizes the behaviour of the flow: laminar, transient or turbulent. Using lattice Boltzmann method we study the behaviour of fluidic gates for various Reynolds numbers. On the designs of AND and OR gates we show the fluidic gates remain functional even for low Reynolds numbers, like 100. The gates designed can be cascaded into functional logical circuits.
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 7, 2018 |
Online Publication Date | Aug 10, 2018 |
Publication Date | Sep 1, 2018 |
Deposit Date | Aug 14, 2018 |
Publicly Available Date | Sep 4, 2019 |
Journal | Journal of Computational Science |
Print ISSN | 1877-7503 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 28 |
Pages | 51-58 |
DOI | https://doi.org/10.1016/j.jocs.2018.08.003 |
Keywords | fluidic logic gates, Reynolds number, lattice Boltzmann method, multiple-relaxation-time |
Public URL | https://uwe-repository.worktribe.com/output/860072 |
Publisher URL | https://doi.org/10.1016/j.jocs.2018.08.003 |
Additional Information | Additional Information : This is the author's accepted manuscript. The final published version is available here: https://doi.org/10.1016/j.jocs.2018.08.003. |
Contract Date | Aug 14, 2018 |
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