American Journal of Fluid Dynamics
p-ISSN: 2168-4707 e-ISSN: 2168-4715
2013; 3(3): 80-86
doi:10.5923/j.ajfd.20130303.05
V. I. Pinchukov
Siberian division of Russian Academy of Sc., In-te of Computational Technologies, Novosibirsk, 630090, Russia
Correspondence to: V. I. Pinchukov, Siberian division of Russian Academy of Sc., In-te of Computational Technologies, Novosibirsk, 630090, Russia.
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Mechanism of self-oscillations, suggested in previous papers of author, is developed. Compressible inhomogeneous flows near blunted bodies, supposed to be self-oscillatory according to this mechanism, are modeled numerically. Classical self-oscillatory interaction of the supersonic jet with the plane surface is considered as a test problem. Two-dimensional Reynolds equations added by the algebraic turbulent viscousity model are solved by the third order Runge-Kutta scheme, which is described.
Keywords: Self-oscillatory Flows, Reynolds Equations, High Resolution Methods, Runge-Kutta Schemes
Cite this paper: V. I. Pinchukov, Self-oscillatory Interactions of Streams, Containing Jets of the Same Direction, with Blunted Bodies, American Journal of Fluid Dynamics, Vol. 3 No. 3, 2013, pp. 80-86. doi: 10.5923/j.ajfd.20130303.05.
![]() | (1) |


equations (1) may be written with fourth order of approximation as a system of ordinary equations
/6).The intermediate form of the scheme consists of next two steps![]() | (2) |
![]() | (3) |
where
=DG/Df,
=DH/Df are Yacoby matrices,
=|u|+c,
=|v|+c - spectral radiuses of these matrixes, Stability operators are factorized approximately to get each factor with space finite difference derivatives in only single variable. Then these operators are inversed by recurrent exclusion procedures. The absolutely stable third order method is provided by next values of parameters![]() | (4) |
is also used in calculations (other parameters are calculated by formulas (4)). It should be noted, that the second step (3) is necessary for the third order scheme to satisfy both conditions of stability and approximation, more over, it provides conservativeness of the scheme. This second step is necessary only to provide conservativeness of the first order scheme. Numerical results for both schemes are in satisfactory agreement. Viscous terms are approximated for both schemes by second order weighted formulas with weights 0.5 at new and old time levels. As mentioned above, the turbulent viscosity is important part of numerical method. To calculate it the algebraic turbulence model, similar to the Cebeci–Smith model, is used. The viscosity calculation starts with the determination of mixing layers by the calculation of a vorticity. The current mesh cell belongs to any mixing layer if wS=∑(u∆r) ≥ ε∆ξ ∑|u||∆r|, where w is a vorticity, S is an area of the mesh cell, ∑ is a sign of summation over cell sides, u are velocity vectors at mesh nodes, ∆r are vectors connecting neighbouring nodes, ε is the small constant (for which the value 3/N is choosed in trial calculations, N- the most number of mesh points along of space variables). The sum at the left side approximately represents the velocity circulation along the contour of the mesh cell. Similarly to the Cebeci-Smith model, the Prandtl formula µ=ρ|w|z² is used for the viscosity inside the mixing layer, where ρ is the density and z is the length scale, which is calculated by next formulas:
z=0.4d, if x>1.5, x=L/d.Here L is the distance from the current point till the mixing layer boundary, d is the delimiting parameter, which makes possible to present in the turbulent viscosity only short wave pulses, while the remainder are described by the mesh solution. These formulas are received from the Karman formula z=0.4L, which is used in the Cebeci-Smith model. Formula z=0.4min(L,d) was used in[9-13]. Formulas above describe the more smooth (first derivative is continuous) delimiter. This procedure is more correct, while numerical results change negligibly. Calculations, presented here, are carried out for d=r/60, r – radiuses of spherical blunts of considered bodies or the jet radius in investigations of supersonic jets impinging on plane.Naturally, numerical calculations deal with dimensionless variables. These variables are defined as relations of initial variables and next parameters of the undisturbed flow or body size:
- for pressure,
- for density,
- for velocity, r (blunt radiuses of cones or cylinders) – for space variables, r/
- for time. It is necessary some units of the dimensionless time to get steady state of usual flows. Here numerical modeling of flows is carrying out for tens and hundreds units. Necessity of usage of long time intervals is explained by slow definition of self-oscillatory flows structures.
=2, θ=0.979mm (momentum thickness of the bound layer at beginning of the region above cavity). Boundary conditions for the computation are no-slip adiabatic wall on solid surfaces, extrapolation on the outflow boundaries, prescribed variables on the inflow plane. Namely, dimensionless pressure and density are 1, velocity component v normal to wall is 0, velocity component tangential to wall is
if s=y/θ≤10, u=
, if s=y/θ >10, γ – specific heat ratio.Calculations are carried out with a time step such that the maximum Courant-Friedrichs-Lewy (CFL) is 0.97. Figure 1b shows pressure history at the x=2L/3 point on the cavity floor. One time point of every 75 points is represented in figure 1b.![]() | Figure 1a. The cavity flow streamlines |
![]() | Figure 1b. Time pressure history on the cavity floor |
, which is computed by the equation
where 
=98066Pa (the air pressure air under normal conditions) is used since dimensionless variables are dealt here. The resulting time averaged
of 174.8Db may be compared with numerical
of 167.54Db and experimental
of 164.41Db presented in [17]. Weighted
for data from various sources[18] is approximately 171Db.Underexpanded supersonic jet impinging on plane is well studied experimentally and may be used to verify applicability of the described numerical method and turbulence model for study of self-oscillatory flows. It may also illustrate the proposed self-oscillations mechanism. Figure 2a shows the density distribution between two infinite plane surfaces. The jet outflows from the axisymmetrical nozzle at the left plane surface in figure 2a. The supposition is used that the temperature at center of the exit cross section of the nozzle is equal to the temperature of surrounding air. Jet parameters are computed by the system of algebraic equations, which describes one-dimensional flow from the point source. Velocity components normal to the solid surfaces (vertical boundaries in figure 2a) are equal to zero, tangential component of velocity, pressure and density are extrapolated. Radial component of velocity is equal to zero on symmetry axis, other variables are extrapolated. Extrapolation condition is used on upper boundary (figure 2a).Figure 2a is typical for flows of this class and may illustrate proposed mechanism of self-oscillations. It should be noted that these flows contain contact discontinuities –‘active’ elements of the first type and intersection points of shocks with shocks or shocks with contact discontinuities –‘active’ elements of the second type.![]() | Figure 2a. Supersonic jet impinging on the plane surface, the calculated flow |
![]() | Figure 2b. Supersonic jet impinging on the plane surface, the inversed flow |
=2.098 ( Mach number at the exit cross section of the nozzle),
=4.785, γ=1.4 (specific heat ratio), h=6.95
(h – the distance between the nozzle exit and the right surface,
- the nozzle radius),
=4° (the nozzle half-angle). According to experimental data[20], this variant corresponds to a region with intensive self-oscillations, that is to say it is situated outside of "silence" zones. Frequency spectrum has spades, first of which is arranged at the frequency 9033Hz. To evaluate dynamics of the calculated flow the density history (figure 3) at brake point y=0 at the right plane may be used. It has 6 spades, noted by arrows. Middle distance T between these spades may be calculated as time distance between first and sixth spades (approximately 11.2), divided by 5 – number of intervals between spades. If to substitute the calculated thus dimensionless value T=2.24 to formulae ω=
/(
T) for frequency, if to use parameters
=1.29kg/m³,
=98066kg/(ms²) of the air under normal conditions and the nozzle radius
=0.015m[20], the frequency value ω=8206Hz may be received. Comparison with the experimental value ω=9033Hz gives an evaluation of accuracy of numerical data. These data are received for the mesh with 696463 cells. The mesh with 546363 cells was used in [13] for the calculation of this flow and the frequency value ω=8041Hz was received![]() | Figure 3. Supersonic jet impinging on the plane, the density history at the brake point |
(the stream Mach number),
=1.0323,
(ratio of the jet radius and of the cone radius at the end of the blunt arched part),
the cone half-angle
the employed mesh has 859725 cells. Boundary conditions for the computation are no-flow on solid surfaces, prescribed variables on the inflow boundary, which is situated at left hand sides of figure 4a-4b, extrapolation on the outflow boundary. But if vortexes appear in the flow, the extrapolation condition leads to instability near outflow boundary when vortex approaches to it. In this case velocity component, normal to boundary, is prescribed to be non-negative at mesh points, nearest to this boundary. It allows to prevent instability and vortex reflection, but requires to exclude vicinity of this boundary from considering. The jet is running out from the cylindrical nozzle, situated at distance
from the cone blunt.![]() | Figure 4a. Density distribution near the blunted cone, the most distance of the bold shock from the blunt |
![]() | Figure 4b. Density distribution near the blunted cone, the least distance of the bold shock from the blunt |
![]() | Figure 5. The flow near the blunted cone, density histories for two meshs |
The density distribution for the new flow is shown in figure 6a and the density history at the brake point is shown in figure 6b. Significant decreasing (about 20 times) of the self-oscillation amplitude compared with the previous case (figure 5) may be seen. So, the dispersing effect turns off positive influence of reflected disturbances at producing of self-oscillations.![]() | Figure 6a. The density distribution near the spherically blunted cone |
![]() | Figure 6b. The flow near the spherically blunted cone, the density history at the brake point |