Abstract:The effect of a uniform through-surface flow (velocity U b ) on a rigid and stationary cylinder and sphere (radius a) fixed in a free stream (velocity U ∞ ) is analysed analytically and numerically. The flow is characterised by a dimensionless blow velocity Λ (= U b /U ∞ ) and Reynolds number Re (= 2aU ∞ /ν, where ν is the kinematic viscosity). High resolution numerical calculations are compared against theoretical predictions over the range −3 Λ 3 and Re = 1, 10, 100 for planar flow past a cylinder and axisym… Show more
“…The corresponding drag coefficient is defined as which can be split into the pressure and the viscous components, where is the unit vector in the streamwise direction (Klettner et al. 2016). The drag coefficient is plotted in figure 15( b ) with the numerical simulations compared with Lee & Fung's (1969) Stokes solution and also a direct calculation with (4.1) using Thompson's analysis.…”
Section: Results: Variation Ofmentioning
confidence: 99%
“…where x is the unit vector in the streamwise direction (Klettner et al 2016). The drag coefficient is plotted in figure 15 Fung 's (1969) Stokes solution and also a direct calculation with (4.1) using Thompson's analysis.…”
The Poiseuille flow (centreline velocity
$U_c$
) of a fluid (kinematic viscosity
$\nu$
) past a circular cylinder (radius
$R$
) in a Hele-Shaw cell (height
$2h$
) is traditionally characterised by a Stokes flow (
$\varLambda =(U_cR/\nu )(h/R)^2 \ll 1$
) through a thin gap (
$\epsilon =h/R \ll 1$
). In this work we use asymptotic methods and direct numerical simulations to explore the parameter space
$\varLambda$
–
$\epsilon$
when these conditions are not met. Starting with the Navier–Stokes equations and increasing
$\varLambda$
(which corresponds to increasing inertial effects), four successive regimes are identified, namely the linear regime, nonlinear regimes I and II in the boundary layer (the ‘ inner’ region) and a nonlinear regime III in both the inner and outer region. Flow phenomena are studied with extensive comparisons made between reduced calculations, direct numerical simulations and previous analytical work. For
$\epsilon =0.01$
, the limiting condition for a steady flow as
$\varLambda$
is increased is the instability of the Poiseuille flow. However, for larger
$\epsilon$
, this limit is at a much higher
$\varLambda$
, resulting in a laminar separation bubble, of size
${O}(h)$
, forming for a certain range of
$\epsilon$
at the back of the cylinder, where the azimuthal location was dependent on
$\epsilon$
. As
$\epsilon$
is increased to approximately 0.5, the secondary flow becomes increasingly confined adjacent to the sidewalls. The results of the analysis and numerical simulations are summarised in a plot of the parameter space
$\varLambda$
–
$\epsilon$
.
“…The corresponding drag coefficient is defined as which can be split into the pressure and the viscous components, where is the unit vector in the streamwise direction (Klettner et al. 2016). The drag coefficient is plotted in figure 15( b ) with the numerical simulations compared with Lee & Fung's (1969) Stokes solution and also a direct calculation with (4.1) using Thompson's analysis.…”
Section: Results: Variation Ofmentioning
confidence: 99%
“…where x is the unit vector in the streamwise direction (Klettner et al 2016). The drag coefficient is plotted in figure 15 Fung 's (1969) Stokes solution and also a direct calculation with (4.1) using Thompson's analysis.…”
The Poiseuille flow (centreline velocity
$U_c$
) of a fluid (kinematic viscosity
$\nu$
) past a circular cylinder (radius
$R$
) in a Hele-Shaw cell (height
$2h$
) is traditionally characterised by a Stokes flow (
$\varLambda =(U_cR/\nu )(h/R)^2 \ll 1$
) through a thin gap (
$\epsilon =h/R \ll 1$
). In this work we use asymptotic methods and direct numerical simulations to explore the parameter space
$\varLambda$
–
$\epsilon$
when these conditions are not met. Starting with the Navier–Stokes equations and increasing
$\varLambda$
(which corresponds to increasing inertial effects), four successive regimes are identified, namely the linear regime, nonlinear regimes I and II in the boundary layer (the ‘ inner’ region) and a nonlinear regime III in both the inner and outer region. Flow phenomena are studied with extensive comparisons made between reduced calculations, direct numerical simulations and previous analytical work. For
$\epsilon =0.01$
, the limiting condition for a steady flow as
$\varLambda$
is increased is the instability of the Poiseuille flow. However, for larger
$\epsilon$
, this limit is at a much higher
$\varLambda$
, resulting in a laminar separation bubble, of size
${O}(h)$
, forming for a certain range of
$\epsilon$
at the back of the cylinder, where the azimuthal location was dependent on
$\epsilon$
. As
$\epsilon$
is increased to approximately 0.5, the secondary flow becomes increasingly confined adjacent to the sidewalls. The results of the analysis and numerical simulations are summarised in a plot of the parameter space
$\varLambda$
–
$\epsilon$
.
“…where n is the unit normal vector to the interface pointing outwards from the jet surface and H denotes the mean local curvature of the interface. Moreover, Σ = −pI + Π andΣ = −pI +Π are the stresses exerted by the liquid jet and air on the interface, respectively; the latter is responsible for the aerodynamic drag force (see Batchelor 1967;Klettner et al 2016). It is worth mentioning that the first and second terms on the left-hand side of (3.41) represent the forces per unit area exerted by air and the jet on the interface, respectively; the term on the right-hand side stands for the normal curvature force related to the local curvature of the air-jet interface.…”
“…Between 300 000 and 2 × 10 6 nodes were used in the computations. The system of equations (2.5 -2.7) was expressed in a finite element formulation and solved using an in-house code 'ACEsim' with the characteristic based split scheme (Nicolle & Eames 2011;Klettner et al 2016). The defining equations were solved in two steps: involving first the calculation of the velocity field until the flow field ran to steady-state.…”
We study the flow and transport of heat or mass, modelled as passive scalars, within a basic geometrical unit of a three-dimensional multipolar flow – a triangular prism – characterised by a side length $L$, a normalised thickness $0.01\leqslant \unicode[STIX]{x1D700}\leqslant 0.1$ and an apex angle $0<\unicode[STIX]{x1D6FC}<\unicode[STIX]{x03C0}$, and connected to inlet and outlet pipes of equal normalised radius $0.01\leqslant \unicode[STIX]{x1D6FF}\leqslant 0.1$ perpendicularly to the plane of the flow. The flow and scalar fields are investigated over the range $0.1\leqslant Re_{p}\leqslant 10$ and $0.1\leqslant Pe_{p}\leqslant 1000$, where $Re_{p}$ and $Pe_{p}$ are respectively the Reynolds and Péclet numbers imposed at the inlet pipe when either a Dirichlet ($\text{D}$) or a Neumann ($\text{N}$) scalar boundary condition is imposed at the wall unattached to the inlets and outlets. A scalar no-flux boundary condition is imposed at all the other walls. An axisymmetric model is applied to understand the flow and scalar transport in the inlet and outlet regions, which consist of a turning region close to the pipe centreline and a channel region away from it. A separate two-dimensional model is then developed for the channel region by solving the integral form of the momentum and scalar advection–diffusion equations. Analytical relations between geometrical, flow and scalar transport parameters based on similarity and integral methods are generated and agree closely with numerical solutions. Finally, three-dimensional numerical calculations are undertaken to test the validity of the axisymmetric and depth-averaged analyses. Dominant flow and scalar transport features vary dramatically across the flow domain. In the turning region, the flow is a largely irrotational straining flow when $\unicode[STIX]{x1D700}\geqslant \unicode[STIX]{x1D6FF}$ and a dominantly viscous straining flow when $\unicode[STIX]{x1D700}\ll \unicode[STIX]{x1D6FF}$. The thickness of the scalar boundary layer scales to the local Péclet number to the power $1/3$. The diffusive flux $j_{d}$ and the scalar $C_{s}$ at the wall where ($\text{D}$) or ($\text{N}$) is imposed, respectively, are constant. In the channel region, the flow is parabolic and dominated by a source flow near the inlet and an irrotational straining flow away from it. When $(\text{D})$ is imposed the scalar decreases exponentially with distance from the inlet and the normalised scalar transfer coefficient converges to $\unicode[STIX]{x1D6EC}_{\infty }=2.5694$. When $(\text{N})$ is imposed, $C_{s}$ varies proportionally to surface area. Transport in the straining region downstream of the inlet is diffusion-limited, and $j_{d}$ and $C_{s}$ are functions of the geometrical parameters $L$, $\unicode[STIX]{x1D700}$, $\unicode[STIX]{x1D6FC}$ and $\unicode[STIX]{x1D6FF}$. In addition to describing the fundamental properties of the flow and passive transport in multipolar configurations, the present work demonstrates how geometrical and flow parameters should be set to control transfers in the different regions of the flow domain.
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