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Swirling flows with applications to ...
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Princeton University.
Swirling flows with applications to energy and biology.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Swirling flows with applications to energy and biology./
作者:
Ault, Jesse Thomas.
面頁冊數:
1 online resource (250 pages)
附註:
Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.
Contained By:
Dissertation Abstracts International78-11B(E).
標題:
Mechanical engineering. -
電子資源:
click for full text (PQDT)
ISBN:
9780355041163
Swirling flows with applications to energy and biology.
Ault, Jesse Thomas.
Swirling flows with applications to energy and biology.
- 1 online resource (250 pages)
Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.
Thesis (Ph.D.)
Includes bibliographical references
This thesis explores the dynamics of flows with secondary swirling motions in a variety of systems using experiments, theoretical techniques, and direct numerical simulations of the Navier-Stokes equations. The applications of this work include: (a) modeling flows in piping networks such as in systems of curved pipes or downstream of perturbations, (b) enhancing or eliminating a novel particle-capture mechanism in branching flows as well as capturing biomaterials and visualizing their shear-induced interactions, and (c) modeling the enhanced diffusiophoretic motion of suspended particles in one-dimensional solute gradients.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355041163Subjects--Topical Terms:
557493
Mechanical engineering.
Index Terms--Genre/Form:
554714
Electronic books.
Swirling flows with applications to energy and biology.
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Princeton University
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This thesis explores the dynamics of flows with secondary swirling motions in a variety of systems using experiments, theoretical techniques, and direct numerical simulations of the Navier-Stokes equations. The applications of this work include: (a) modeling flows in piping networks such as in systems of curved pipes or downstream of perturbations, (b) enhancing or eliminating a novel particle-capture mechanism in branching flows as well as capturing biomaterials and visualizing their shear-induced interactions, and (c) modeling the enhanced diffusiophoretic motion of suspended particles in one-dimensional solute gradients.
520
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The first part of this dissertation begins with a discussion of the downstream decay of fully developed flow in a curved pipe that exits into a straight outlet. Scaling arguments are developed, numerical simulations are used to quantify transition lengths, and an analogy is made to the flow in the downstream outlets of a T-junction flow. Later, these scaling arguments are extended to analytical solutions for the flow downstream of a weakly curved pipe at large Reynolds numbers. By appropriate linearizations of the Navier-Stokes equations in both cylindrical and toroidal coordinates, the developing flow in the entry region of a weakly curved pipe is shown to have the same analytical solution as the flow downstream of a curved pipe. Using a similar analytical approach, the flow in a cylindrical, straight pipe downstream of an arbitrary 3D perturbation is solved for both the Stokes flow and high-Reynolds-number limits.
520
$a
The second part of this dissertation identifies unique features and applications of the flow in a branching junction. Specifically, a flow-induced, Reynolds-number-dependent particle-capture mechanism is shown to originate from features resembling classical vortex breakdown. By varying the junction angle and Reynolds number, I show how this particle capture mechanism can be enhanced or eliminated, and I show how the recirculation regions responsible for capture originate and evolve. I utilize this capture phenomenon to produce giant unilamellar vesicles through shear-induced fusion, and demonstrate a platform for visualizing shear-induced biomaterial interactions in flow. In the final part of this dissertation, the diffusiophoretic motion of suspended colloidal particles under 1D solute gradients is solved using numerical and analytical techniques.
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Ann Arbor, Mich. :
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2018
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click for full text (PQDT)
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