Performance of Reynolds-Averaged Turbulence Models for Unsteady Separated Flows with Periodic Blowing and Suction

 

Fluid Mechanics Laboratory, Department of Aeronautics and Astronautics,

Kyushu University, Fukuoka, 819-0395, Japan

 

INTRODUCTION

Control of a turbulent flow by an oscillatory perturbation is well known to be effective and practically useful in a wide range of flow fields[1][2]. An example may be a separation control on an aircraft wing by means of a solid vortex generator or a small jet. Such an oscillatory flow control is particularly effective when it is introduced two-dimensionally because large spanwise structures generated in the flow are responsible for the momentum transfer across whole the boundary layer.

To investigate these phenomena, computational fluid dynamics (CFD) is a promising way. However, there still remain several difficulties to predict such complex phenomena accurately. Needless to say, one great concern is turbulence modeling. Although many research groups have tried to develop turbulence models for complex flow-field predictions, no complete set of turbulence models have been proposed to give accurate results for such an unsteady turbulence with oscillatory blowing/suction.

Based on these backgrounds, the final goal of this study aims to construct an advanced turbulence model applicable to complex turbulence. For this purpose, the performance of several RANS models is investigated by application to an unsteady separated flow over a hump with/without flow blowing/suction. From the obtained results, the present study discusses the characteristics of the model performance in detail and some strategies are tested for further improvement of the prediction accuracy.

 

TEST CASE

In this study, all the results are compared with the experimental data of NASA Workshop Case3[2][3][4]. Experiments were conducted by NASA Langley Research Center with three different conditions as follows:

l     No flow control (no flow through the 23-inch-span slot; slot left open with no suction or blowing through it)

l     Steady suction (suction rate of 0.01518 kg/s through the slot)

l     Zero-net-mass-flux oscillatory suction/blowing (frequency () = 138.5 Hz and peak velocity out of slot () during blowing part of cycle = 26.6 m/s)

According to the experiment[3][4], phase-averaged turbulent statistics also indicate flow two-dimensionality. Despite the large instantaneous structures present in the flow,  is virtually uncorrelated with either  or . This might serve as a justification for modeling the flow using a two-dimensional unsteady RANS (URANS) approach.  Table 1 shows the experimental conditions. The hump is a wall-mounted Glauert-Goldschmied type body, whose geometry is similar to that employed by Seifert & Pack[5]. It has a control slot at approximately the 65% chord station on the model and a flow control is supplied two-dimensionally across the span.

 

Table 1.  Experimental conditions.

 
COMPUTATIONAL CONDITIONS

Computational conditions are the same as the previous study[6]. The geometry of the flow simulated is shown in Fig.1. The inlet flow, at (based on the free-stream velocity  and the chord length ), is turbulent. The grid system around the hump is shown in Fig.2. In a similar manner to the experiment[3][4], it has a cavity inside the slot. To realize the slot condition sufficiently, grid points are concentrated in the vicinity of the slot. The computational domain is covered with a body-fitted grid of  nodes.

 

Fig. 1.  Overview of flow field.

 

Fig.2. Grid system.

Conditions at the upper boundary () were slip conditions and wall conditions were used at the lower boundary (). At the outlet boundary, x/c=4.0, zero streamwise gradients were prescribed and the inlet boundary conditions were specified based on the experimental data. In all the test cases, no-slip conditions were specified at the wall surfaces.

To investigate the performance of turbulence models, five RANS models were tested:  two linear k- models (LS model[7], AKN model[8]), a linear k- model (SST model[9]), a non-linear k- k- model ( AJL- model[10]) and a non-linear k- model ( AJL- model[10]). The aforementioned three flow conditions were considered, among which the velocity of blowing/suction at the slot for the oscillatory-control case is defined as

                                                      (1)

So far, the effect of periodic perturbation on the turbulent separated flow has been investigated in various types of flows. One of their common results is that the reattachment length is remarkably reduced when the frequency of the imposed perturbation falls in a certain range[1]. In this test case, such an effective excitation (Hz, ) was chosen after detailed examinations on its frequency[3][4].

Calculations were performed with the finite-volume procedure STREAM of Lien and Leschziner[11], followed by several improvements and substantially upgraded by Apsley and Leschziner[12]. This method uses collocated storage on a non-orthogonal grid and all variables are approximated on cell faces by the UMIST scheme[13], a TVD implementation of the QUICK scheme. The solution algorithm is SIMPLE, with a Rhie-Chow interpolation for pressure.

 

SAMPLE RESULTS

Reattachment length and streamlines

  The obtained reattachment lengths are summarized in Table 2 and representative streamlines are illustrated in Fig. 3.

 

Table 2  Reattachment points.

Model

Baseline

Steady suction

Osc.control

Exp.

LS

SST

AKN

AJL-

AJL-

 

 

(a)

(b)

(c)

Fig.3. Streamlines (AJL- model): Baseline; (b) Steady suction; (c) Oscillatory control.

 

Pressure coefficients

Figures 4-6 show time-mean pressure coefficients  for the baseline and suction cases as well as time-mean and rms surface pressure coefficients for the oscillatory control case. All the models return generally reasonable results, though the values of  just behind the slot did not correspond to the experimental data. Note that it is reported that almost all the participants of the NASA workshop using RANS approach obtained this trend[2]. As shown in Table 2, AJL- model gives the largest reattachment length among all the tested models and its effect is also seen in the pressure-field prediction.

 

(a)

(b)

Fig.4. Pressure coefficients for baseline case.

 

(a)

(b)

Fig. 5. Pressure coefficients for steady-suction case.

 

(a)

(b)

Fig. 6. Comparison of mean and fluctuating pressure coefficients for oscillatory control case.

 

More detailed descriptions are given in the reference paper[14].

 

REFERENCES

[1] Syuya Yoshioka, Shinnosuke Obi, Shigeaki Masuda, "Organized vortex motion in periodically perturbed turbulent separated flow over a backward-facing step," Int. J. Heat and Fluid Flow 22, 301-307 (2001).

[2] T.B. Gatski and C. Rumsey, Langley Research Center Workshop: CFD Validation of Synthetic Jets and Turbulent Separation Control, NASA (2004).

[3] David Greenblatt, Keith B. Paschal, Chung-Sheng Yao, Jerome Harris, Norman W. Schaeffler, Anthony E. Washburn, "A Separation Control CFD Validation Test Case, Part 1: Baseline and Steady Suction," AIAA 2004-2220, June-July (2004).

[4] David Greenblatt, Keith B. Paschal, Chung-Sheng Yao, Jerome Harris, "A Separation Control CFD Validation Test Case, Part 2: Zero Efflux Oscillatory Blowing," AIAA 2005-0485, January (2005).

[5] Avi Seifert, LaTunia G. Pack, "Active Flow Separation Control on Wall-Mounted Hump at High Reynolds Numbers," AIAA Journal, Vol. 40, No. 7, 1363-1372 (2002).

[6] Masashi Yoshio, Ken-ichi Abe, "An investigation of Reynolds-averaged turbulence models for unsteady separation flows with periodic blowing and suction," 17th

International Symposium on Transport Phenomena, September (2006).

[7] B.E. Launder and B.I. Sharma, "Application of the energy-dissipation model of turbulence to the calculation of flow near a spinning disc," Letter of Heat and Mass Transfer 1, 131-138 (1974).

[8] K. Abe, T. Kondoh, Y. Nagano, "A New Turbulence Model for Predicting Fluid Flow and Heat Transfer in Separating and Rattaching Flows - I. Flow Field Calculations," Int. J. Heat Mass Transf. 37, 139-151 (1994).

[9] F.R. Menter, "Two-Equation Eddy-Viscosity Turbulence Models for Engineering Applications," AIAA J. 32-8, 1598-1605 (1994).

[10] K. Abe, Y.-J. Jang, M.A.Leschziner, "An investigation of wall-anisotropy expressions and length-scale equations for non-linear eddy-viscosity models," Int. J. Heat and Fluid Flow 24, 181-198 (2003).

[11] F.S. Lien, M.A. Leschziner, "A general non-orthogonal collocated finite volume algorithm for turbulent flow at all speeds incorporating second-moment turbulence-transport closure, Part1: computational implementation," Comput. Methods Appl. Mech. Eng. 114, 123-148 (1994).

[12] D.D. Apsley, M.A. Leschziner, "Advanced turbulence modelling of separated flow in a diffuser," Flow Turbulence Combust. 63, 81-112 (2000).

[13] F.S. Lien, M.A. Leschziner, "Upstream monotonic interpolation for scalar transport with application to complex turbulent flows," Int. J. Num. Methods Fluids 19, 527-548 (1994).

[14] Masashi YOSHIO and Ken-ichi ABE, ¡°Performance of Reynolds-Averaged Turbulence Models for Unsteady Separated Flows with Periodic Blowing and Suction,¡± Proceedings of 18th International Symposium on Transport Phenomena, Daejeon, pp. 1359-1366, 2007.

 

 

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