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Investigation of effects of compressibility, geometric and flow parameters on the simulation of a synthetic jet behaviour

Published online by Cambridge University Press:  23 March 2016

F. Bazdidi-Tehrani ,
A. Abouata ,
M. Hatami  and
N. Bohlooli
F. Bazdidi-Tehrani*
Affiliation:
School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
A. Abouata
Affiliation:
School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
M. Hatami
Affiliation:
School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
N. Bohlooli
Affiliation:
School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
*
[email protected]
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Abstract

The present paper focuses on a three-dimensional unsteady turbulent synthetic jet to assess the accuracy of a compressible simulation and some important parameters including the simulations of the actuator, cavity height and Reynolds number. The two-equation SST/k − ω turbulence model is used to predict the flow behaviour. Results show that the compressible simulation case is more accurate than the incompressible one and the dynamic mesh exhibits more reliable results than the mass flow inlet boundary in the compressible simulation. The compressible case displays a delay in the phase of instantaneous velocity for all three Reynolds numbers. Also, the maximum of mean velocity is less than the incompressible case. Moreover, an increase in the Reynolds number leads to an amplification of the peak of mean velocity magnitude. Finally, results demonstrate that a reduction in the cavity height regarding the compressible simulation case causes a reduction in the phase delay and rise in peak of instantaneous velocity magnitude.

Keywords

Synthetic jetCompressible flowTurbulent flowSST/k-ω modelOscillatory flowDynamic Mesh
Type
Research Article
Information
The Aeronautical Journal , Volume 120 , Issue 1225 , March 2016 , pp. 521 - 546
Copyright
Copyright © Royal Aeronautical Society 2016 

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References

REFERENCES

1.Bazdidi-Tehrani, F., Jahromi, M., Karami, M. and Javadi, A. Numerical analysis of a zero net mass flux jet in a quiescent medium, Proceedings of 16th Annual Conference of CFD Society Canada, University of Saskatchewan, Saskatoon, Canada, 2008.Google Scholar
2.Wang, J., Ba, Y. and Feng, L.Experimental investigation on laminar separation control for flow over a two dimensional bump, J Turbul, 2014, 15, (4), pp 221–240.Google Scholar
3.Xia, Z. and Luo, Z.Physical factor of primary jet vectoring control using synthetic jet actuators, Appl Math Mech (English edition), 2007, 28, (7), pp 907–920.Google Scholar
4.Vukasinovic, J. and Glezer, A. Spot-cooling by confined, impinging synthetic jet, ASME Summer Heat Transfer Conference, 20-23 July 2003, Las Vegas, Nevada, US.CrossRefGoogle Scholar
5.Tesa, V.Enhancing impinging jet heat or mass transfer by fluidically generated flow pulsation, Chem Eng Res Des, 2009, 87, (2), pp 181–192.Google Scholar
6.Liu, Y., Wang, B. and Liu, S.Numerical simulation of high-power synthetic jet actuator flow field and its influence on mixing control, J Therm Sci, 2008, 17, (3), pp 207–211.Google Scholar
7.Polsenberg, A., Milano, M., Grazier, M., Fischer, K. and Burdick, J. Synthetic jet propulsion for small underwater vehicles, International Conference on Robotics and Automation, Barcelona, Spain, 2005.Google Scholar
8.Iuso, G., Di Cicca, G. and Donelli, R.Flow field development of an axisymmetric synthetic jet, AIMETA, Firenze University Press, Florence, Italy, 2005.Google Scholar
9.Jin, Z, Wang, Y. and Yang, Z.An experimental investigation into the effect of synthetic jet on the icing process of a water droplet on a cold surface, Int J Heat Mass Transfer, 2014, 72, pp 553–558.Google Scholar
10.Smith, B.L. and Glezer, A.The formation and evolution of synthetic jets, Phys Fluids, 1998, 10, (9), pp 2281–2297.Google Scholar
11.Holman, R., Uttarkar, Y., Mittal, R., Smith, B.L. and Cattafesta, L.Formation criterion for synthetic jets, AIAA J, 2005, 43, (10), pp 2110–2116.Google Scholar
12.Smith, B.L. and Swift, G.A comparison between synthetic jets and continuous jets, J Exp Fluids, 2003, 34, (4), pp 46–472.Google Scholar
13.Yao, C., Chen, F., Neuhart, D. and Harris, J. Synthetic jet flow field database for CFD validation, 2nd AIAA Flow Control Conference, 28 June–1 July 2004, Portland, Oregon, US.Google Scholar
14.Greco, C., Ianiro, A., Tasarita, T. and Cardone, G.On the near field of single and twin circular synthetic air jets, Int J Heat Fluid Flow, 2013, 44, pp 41–52.Google Scholar
15.Kordák, J.Broukov, Z., Vít, T., Pavelka, M. and Trávníek, Z.Novel methods for evaluation of the Reynolds number of synthetic jets, Exp Fluids, 2014, 55, (6), pp 1–16.Google Scholar
16.Chila, R. and Kaminski, D.Numerical analysis of a synthetic jet using an automated adaptive method, Int J Numer Methods Fluids, 2012, 69, (1), pp 190–205.Google Scholar
17.Bazdidi-Tehrani, F. and Jahromi, M.Analysis of synthetic jet flow field: Application of URANS approach, Trans Can Soc Mech Eng, 2011, 35, (3), pp 337–353.Google Scholar
18.Ma, X., Guo, H., Fan, Z.H. and Zhang, L.Investigating of simulation methods for synthetic jet, Procedia Eng, 2012, 31, pp 416–421.Google Scholar
19.Shan, R.Q. and Wang, J.J.Experimental studies of the influence of parameters on axisymmetric synthetic jets, Sens Actuators, 2009, 157, (1), pp 107–112.Google Scholar
20.Xiong, D., Zhixun, X., Zhenbing, L. and Lin, W.A novel optimal design for an application-oriented synthetic jet actuator, Chin J Aeronaut, 2014, 27, (3), pp 514–520.Google Scholar
21.Jain, M., Puranik, B. and Agrawal, A.A numerical investigation of effects of cavity and orifice parameters on the characteristics of a synthetic jet flow, Sens Actuators, 2010, 165, (2), pp 351–366.Google Scholar
22.Nani, D.J. and Smith, B.L.Effect of orifice inner lip radius on synthetic jet efficiency, Phys Fluids, 2012, 24, (11), pp 115110.Google Scholar
23.Bazdidi-Tehrani, F., Hatami, M. and Abouata, A.Effects of inlet and outlet boundary conditions on the flow field of synthetic jets, Proc I Mech E Part E: J Process Mech Eng, 2015, DOI: 10.1177/0954408915577338.Google Scholar
24.Utturkar, Y., Mittal, R., Rampunggoon, P. and Cattafesta, L. Sensitivity of synthetic jets to the design of the cavity, 40th AIAA Aerospace Sciences Meeting and Exhibit, 14-17 January 2003, Reno, Nevada, US.Google Scholar
25.Batikh, A., Caen, R., Colin, S., Baldas, L., Kourta, A. and Boisson, H.C.Numerical and experimental of micro synthetic jets for flow control, Heat Tech, 2008, 26, (1), pp 139–145.Google Scholar
26.Cain, A.B., Karl, L.D., Donovan, J.F. and Smith, T.D. Numerical simulation of compressible synthetic jet flow, 36th AIAA Aerospace Sciences Meeting and Exhibit, 12-15 January 1998, Reno, Nevada, US.Google Scholar
27.Tang, H. and Zhong, S.A static compressible flow model of synthetic jet actuators, Aeronaut J, 2007, 111, (1121), pp 421–431.Google Scholar
28.Moran, R. P., Peter, W. D., Muller, M. O., Bernal, L. P., Parviz, B. A. and Najafi, K.Numerical simulation of micromachined acoustic resonators, 2000, 38th AIAA Aerospace Sciences Meeting and Exhibit, 10–13 January 2000, Reno, Nevada, US.Google Scholar
29.Rana, Z. A., Thornber, B. and Drikakis, D.Dynamics of Sonic Hydrogen Jet Injection and Mixing Inside Scramjet Combustor, Eng Appl Comput Fluid Mech, 2013, 7, (1), pp 13–39.Google Scholar
30.Ding, Y., Liu, R. and Su, R.3D numerical simulation of compressible gas synthetic jet, Appl Mech Mater, 2012, 152, pp 266–270.Google Scholar
31.Shyy, W. and Krishnamurty, V.S.Compressibility effects in modeling complex turbulent flows, Progr Aerospace Sci, 1997, 33, (9), pp 587–645.Google Scholar
32.Menter, F. R.Two-equation eddy-viscosity turbulence models for engineering applications, AIAA J, 1994, 32, (8), pp 1598–1605.Google Scholar
33.Panaras, A.G., Drikakis, D.High-speed unsteady flows around spiked-blunt bodies, J Fluid Mech, 2009, 632, pp 69–96.Google Scholar
34.Versteeg, H. K. and Malalasekera, W.An Introduction to Computational Fluid Dynamics: The Finite Volume Method, 2007, Pearson Education Ltd, Upper Saddle River, US.Google Scholar
35.Chorin, A. J.Numerical solution of Navier-Stokes equations, Math Comput, 1968, 22, (104), pp 745–762.Google Scholar
36.Sachin, K.M., Vinay, S.S. and N. Sreenivasulu, R.Comparison of pressure based solver with artificial compressibility method, Int J Eng Res, 2014, 3, (7), pp 472–475.Google Scholar
37.Tamamidis, P., Zhang, G. and Assanis, D. N.Comparison of pressure-based and artificial compressibility methods for solving 3D steady incompressible viscous flows. J Comput Phys, 1996, 124, (1), pp 1–13.Google Scholar