Computational fluid dynamics simulations of fully developed turbulent flows with Newtonian and non-Newtonian drag reduction fluids in the cylindrical geometry

Xiong, Xiao (2020) Computational fluid dynamics simulations of fully developed turbulent flows with Newtonian and non-Newtonian drag reduction fluids in the cylindrical geometry. Doctoral (PhD) thesis, Memorial University of Newfoundland.

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Abstract

While turbulent flows with the dynamic and sinuous flow pattern have a wide variety of engineering applications in enhancing fluid mixing and heat/mass transfer, they unfavorably lead to dramatic increases in friction drags that need to be eased. The polymer induced drag reduction, first discovered by Toms in 1948, is one of the most efficient techniques to achieve so, which has the capability of reducing the friction drag in turbulent flows by up to 80%. As a result, it has been broadly used for anti-corrosion in oil and gas conduits, energy loss prevention in irrigation, water heating/cooling systems and sewer systems, improving hydraulic fracturing in reservoir engineering, and enhancing cutting transport for extended-reach well in drilling engineering. Despite being studied for over 70 years, many problems in this research area are still waiting to be solved. In particular, to accurately predict drag reduction numerically remains challenging, especially in engineering problems where flows with large Reynolds numbers in complex geometries widely exist. Consequently, in this study, a reliable numerical approach has been proposed in the computationally inexpensive Reynolds-averaged-Navier-Stokes (RANS) framework to estimate polymer induced drag reduction in the cylindrical geometry, with the rheological behavior of polymer solutions represented by the finitely-extensible-nonlinear-elastic model with Peterlin’s function (FENE-P model) and the turbulent flow field characterized by the k-

Item Type: Thesis (Doctoral (PhD))
URI: http://research.library.mun.ca/id/eprint/14908
Item ID: 14908
Additional Information: Includes bibliographical references.
Keywords: Polymer induced drag reduction in the turbulent flow, RANS based CFD simulation, Viscoelastic FENE-P model, k-e-v²-f turbulence model, Transverse curvature effect
Department(s): Engineering and Applied Science, Faculty of
Date: October 2020
Date Type: Submission
Library of Congress Subject Heading: Computational fluid dynamics--Simulation methods; Polymers--Industrial applications; Viscoelastic materials; Newtonian fluids; Non-Newtonian fluids

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