Volume 1: Fora, Parts A, B, C, and D 2003
DOI: 10.1115/fedsm2003-45655
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Reynolds Stress Modeling for Drag Reducing Viscoelastic Flows

Abstract: A Reynolds-stress transport equation model for turbulent drag-reducing viscoelastic flows, such as that which occurs for dilute polymer solutions, is presented. The approach relies on an extended set of Reynolds-Averaged Navier-Stokes equations which incorporate additional polymer stresses. The polymer stresses are specified in terms of the mean polymer conformation tensor using the FENE-P dumbbell model. The mean conformation tensor equation is solved in a coupled manner along with the Navier-Stokes equations… Show more

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Cited by 19 publications
(29 citation statements)
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“…(13)) is comparable to the other contributions [20,5,15]. This is also in agreement with the approximations introduced in Leighton et al [14].…”
Section: Reynolds Averaging Proceduressupporting
confidence: 90%
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“…(13)) is comparable to the other contributions [20,5,15]. This is also in agreement with the approximations introduced in Leighton et al [14].…”
Section: Reynolds Averaging Proceduressupporting
confidence: 90%
“…(17) in Newtonian fluids as an extension to classical pressure-strain models [12] by including an elliptic operator that represents non-local effects, typically referred to as elliptic relaxation [7]. Leighton et al [14], on the other hand, ignored non-locality, but introduced an explicit modification to the pressure-strain correlation to account for the polymer-induced turbulence energy redistribution; the extra term was modeled by mimicking the slow pressure-strain model [21], e.g. the first term at the right hand side of Eq.…”
Section: -F Equationsmentioning
confidence: 99%
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“…Known closures include those proposed by Pinho et al [21] and Leighton et al [22]; the latter was based on a priori direct numerical simulation. However, the validation of such closures is restricted to very low Reynolds numbers, as direct numerical simulation is computationally intensive [23].…”
Section: Computational Fluid Dynamics (Cfd) and Non-newtonian Fluidsmentioning
confidence: 99%