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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Extreme Mechanics Le...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Extreme Mechanics Letters
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Laminar flow manipulators

Authors: Juhyuk Park; Young Seok Song;

Laminar flow manipulators

Abstract

Abstract Metamaterials have allowed unprecedented control of physical fields by harnessing material tensors derived from coordinate-transformation of governing equations. Among them, hydrodynamic metamaterials have recently received immense interests, showing the possibility of viscous flow control. However, the extant metamaterials cannot work for laminar flow which accompanies inertia force as well as viscous force. Herein, we propose a novel methodology for manipulating laminar flow to use the material tensors derived from the coordinate-transformed Navier–Stokes equations. The laminar flow manipulators for cloaking, concentrating, and rotating hydrodynamic flows are implemented numerically by applying both tensoric viscosity and density. The tensors give a direction for designing and fabricating metamaterials to control laminar flow.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Top 10%
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