The Attractors of the Rayleigh-Bénard Flow of a Rarefied Gas S.Stefanov∗ , V. Roussinov∗ and C. Cercignani† ∗ Inst. of Mech., Bulg. Acad. of Sciences, Sofia, Bulgaria † Dipart. di Matematica, Polit. di Milano, Italy Abstract. We have studied the Rayleigh-Bénard flow of a rarefied gas for Kn ∈ [1.0×10−3 , 4×10−2 ] , Fr ∈ [1.0×10−1 , 1.5× 103 ] and a fixed temperature ratio Tc /Th = 0.1. The calculations are performed by both the DSMC and the numerical solution of Navier-Stokes equations, with a remarkable agreement between the methods. We exhibit chaotic behavior and also a hysteresis cycle. INTRODUCTION The formation and development of convection flows in a fluid confined between two horizontal parallel plates with the bottom plate heated from below is a classical problem known in hydrodynamics as the Rayleigh-Bénard problem. The first numerical calculations of the RB convection of a rarefied gas performed either by the DSMC method ([1, 2]) or by solving the BGK equation [3] show that the transition from pure conduction to convection occurs for temperature gradients larger than a certain critical value and for sufficiently low Knudsen numbers . A variety of studies [2, 3, 4, 5, 6, 7] report about a stable vortex formation for Knudsen numbers Kn (= `0 /L) = 0.01 − 0.05 and various magnitudes of temperature ratio and Froude number Fr (= Vth2 /gL). Here g is the acceleration of gravity, Vth the most probable molecular speed, L the distance between the hot (with temperature Th ) and cold (with temperature Tc ) plates. These investigations can be separated into two groups according on the aim pursued by the authors. In the first group of articles [1, 4, 5] the authors try to eliminate the density gradient by choosing the acceleration of gravity g consistent with constant density in the convection-free (pure conduction) solution. Thus, the flow is assumed to be very close to the Boussinesq approximation conditions and, consequently, the Rayleigh number Ra (in this case, the unique non-dimensional parameter determining the transition from pure conduction to a convection flow) can be used and compared with the critical value Rac (for no-slip boundary conditions Rac = 1708) obtained by linear stability analysis of the Oberbek-Boussinesq equation. In this approach, however, the choice of the governing parameters is restricted. The authors of the second group of articles[2, 3, 6, 8] consider the problem for a set of freely varying independent parameters and investigate the effect of gas stratification (a natural formulation for a rarefied gas). Thus, the density of the purely conduction state might increase when moving toward the cold plate in the case of weak gravity, increase when moving toward the hot plate for strong gravity or, as shown further in the paper, be non-monotonic for some intermediate values. All these papers show that for such conditions the onset of instability cannot be determined by a single non-dimensional parameter Ra. In the present research we investigated numerically the RB flow for a set of the non-dimensional parameters in the intervals Kn ∈ [1.0 × 10−3 , 4 × 10−2 ] , Fr ∈ [1.0 × 10−1 , 1.5 × 103 ]. For most of the computations the third nondimensional parameter, the temperature ratio was fixed to Tc /Th = 0.1, corresponding to a large temperature difference ( Th serves as reference temperature), for which the RB system is believed to reach most of the possible final states (attractors). CP663, Rarefied Gas Dynamics: 23rd International Symposium, edited by A. D. Ketsdever and E. P. Muntz © 2003 American Institute of Physics 0-7354-0124-1/03/$20.00 194 0.035 MC(rolls) FD(rolls) chaotic wavy Ra =1708 m z =1.0 min z =0.0 0.03 min 0.015 0.01 convective states Kn 0.02 pure−conductive state 0.025 pure−conductive state 0.005 0 −1 10 0 10 1 2 10 10 3 10 4 10 Fr FIGURE 1. The zone of convection computed by DSMC (circles) and FD (other markers) methods within a range of Knudsen and Froude numbers and a fixed temperature ratio r = 0.1. The bold solid and dashed lines are analytical estimates bounding the zone. NUMERICAL RESULTS The domain in the parameter space defined above covers the Bénard instability zone down to Kn = 10−3 . The fact that the onset of instability occurs for small Knudsen numbers suggests that the RB instability in a rarefied gas can be used to investigate the agreement between Navier-Stokes and Boltzmann equations for small Knudsen number flows. This was first checked on simple unsteady one-dimensional gas flows in our previous paper [9] and the results were very encouraging. In the present research we extend this approach to a more complicated case of study, namely, the onset of transition from a pure conduction state to a convection state in the two-dimensional Rayleigh-Bénard system of a “hard sphere” gas. We also treat the possible long term states of developed convection. For that purpose we use two principally different numerical approaches: particle simulation by the DSMC method [10] and Navier-Stokes finite difference (FD) calculations [9]. A comparative analysis of the results obtained by both methods is carried out for the domain of governing parameters indicated above. We first compare the numerical results obtained by DSMC method and finite difference (FD) computations in a twodimensional domain with aspect ratio 2 and delineate the zone of the Rayleigh-Bénard convection within the domain of Knudsen and Froude numbers as pointed out above and for a fixed temperature ratio r = Tc /Th = 0.1. The computed zone of instability is presented in Fig. 1 by a gray shaded area. The neutral curve separating the outer area of final pure conduction from the inner one of final convection is determined approximately by points bounding the domain of convection (i.e. these are the last points where a convection is detected): the Monte Carlo and FD data are marked by circles and squares respectively. As can be seen the onset of the Bénard instability with regard to the Knudsen numbers is about Kn = 0.029 for the Monte Carlo simulations and Kn = 0.028 for the finite difference computations; this can be accepted as a good enough coincidence between the two approaches. The agreement between the solutions, not unexpectedly, improves when the Knudsen number decreases. Down to Kn = 0.01 we found that in all computed cases the final states of convection were stable two-roll configurations if the initial state of the gas is in thermal equilibrium with the hot wall and gravity is neglected. For Kn = 0.005 and small Fr a four-roll configuration was also observed (Fig. 2). Our calculations confirmed the results reported by Sone et. al. [6], and Golshtein, Elperin [8] about the presence of co-existing attractors of the RB flow of a rarefied gas. Moreover, trying to locate the line separating convection from pure conduction more accurately we have found that 195 0.9 0.8 0.7 z 0.6 0.5 0.4 0.3 0.2 0.1 0.2 FIGURE 2. 0.4 0.6 0.8 1 y 1.2 1.4 1.6 1.8 The final four-roll state computed by DSMC (a) and FD (b) methods for Kn = 0.005, Fr = 0.95 and r = 0.1. 0.16 FD MC 0.14 A 0.12 max|w(y,z)| 0.1 0.08 0.06 D 0.04 B 0.02 C 0 1.2 FIGURE 3. Kn = 0.02. 1.25 1.3 1.35 1.4 Fr 1.45 1.5 1.55 1.6 The hysteresis loop computed by DSMC (circles) and FD (triangles) methods for small Fr numbers and a fixed there exist hysteresis loops for fixed Kn when by increasing and reversely decreasing the Froude number Fr the state is varied within a certain interval (Fig. 3). Thus the separation (neutral) line that we have determined could be considered as a rough lower bound enveloping the right (large Fr) side of the zone of convection. Analytically, an upper bound can be determined by investigating the zone of stability of pure conduction on the basis of the continuum model. A 196 6 cold wall 5 1 Fr=10 4 Fr=5x101 3 Q Fr=102 2 Fr=103 1 0 Fr=1.5x103 hot wall −1 perturbations −2 1 10 2 10 3 10 t FIGURE 4. The heat flux behavior for a set of large Froude numbers. The Knudsen number and the temperature ratio are fixed (Kn = 0.001 and r = 0.1). further analysis shows that the condition delineates a line which follows very close the left (small Fr) boundary of the computed zone of instability. So, both left and right conditions can serve to determine of a rough exterior bound which envelopes the zone of instability from the side of small and large Froude numbers respectively. We then analyse the results obtained for the lowest Knudsen number considered (Kn = 0.001) where a set of qualitatively new regimes and final states have been found. Due to the extremely intensive DSMC computations needed to reach the long time behavior, the results for the molecular model have been obtained for one of the most interesting cases only (Fr = 1.0). The finite difference computations for the continuum model are performed for a variety of Froude numbers starting from a large value Fr = 1.5 × 103 where the attractor is a pure-conduction state. By decreasing the Froude number the final state of the system goes from a stable two-roll configuration to a tworoll configuration with periodic and quasi-periodic regimes of oscillations, then degenerates to a permanent chaotic behaviour for Fr = 0.9 − 1.0, then stabilizes as a stable six-roll configuration for Fr = 0.8 and, finally, becomes again pure-conduction for Fr < 0.8. The comparison between the two models performed for Fr = 1.0 showed that both methods exhibit a secondary instability with a final flow regime of a permanently chaotic vortex formation (a similar result has been obtained by Bird [11] for the Taylor-Couette cylindrical flow by using the DSMC method). The time evolution of the non-dimensional heat fluxes at the walls computed for the continuum model by the FD method is presented in Figs. 4 and 5 for a set of Froude numbers. Figure 4 shows the heat flux behavior for large Froude numbers (10 ≤ Fr ≤ 1500) for which the slope of the density profile of a pure conduction regime would be positive. Figure 5 shows the heat flux profiles for the cases (1.0 ≤ Fr ≤ 2.0) with a non-monotonic or negative (Fr = 1.0) slope of the density profile. The orbit of the established state in the reduced phase plane (Qz=0 (t), Qz=1 (t)) (Fig.8), when compared with the orbits in the cases Fr = 1.5 (Fig. 6) and Fr = 1.2 (Fig. 7), gives an impression of the chaotic character of the flow attractor. In the theory of nonlinear dynamic systems, the long time solutions of this kind are known under the name of 197 6 5 cold wall 4 Fr=2.0 Fr=1.5 Q 3 2 1 Fr=1.0 0 −1 hot wall −2 1 10 2 10 t FIGURE 5. The heat flux behavior for a set of small Froude numbers. The Knudsen number and the temperature ratio are fixed (Kn = 0.001 and r = 0.1). “strange attractors”. The existence of “strange attractors”, obtained by two methods having rather different bases, opens a new path for the investigation of the transition to turbulence at the edge between molecular and continuum descriptions. The last numerical result we present refers to the influence of a larger aspect ratio A = 6.0 on the chaotic convection for the basic case (Kn = 0.001, Fr = 1.0, r = 0.1). The computations have been carried out for the continuum model by using FD method on a 1200 × 200 grid. The run starts from a randomly disturbed pure conduction state. A series of snapshots presented in Figs. 9 show some typical evolutions of the velocity vector field. A later excitement of the instability occurs due to the initial condition of pure conduction; this helps avoiding the appearance of a wave travelling between the walls due to gravity as occurs in the basic case. The larger aspect ratio A = 6.0 helps keep longer (t > 150.0) the initial symmetry with respect to the midline y = L0 /2 ( Fig. 9, 3rd snapshot), in comparison with the case with a smaller aspect ratio. In the end, the flow looses unavoidably the symmetry and degenerates to chaotic spatiotemporal structures that are observed in the case with aspect ratio A = 2.0. CONCLUDING REMARKS In spite of the numerous results of Navier-Stokes calculations for various incompressible viscous flows showing chaotic behavior for long times, it turns out that the question is frequently raised whether the chaotic solutions of the Navier-Stokes equations produce a turbulent behavior adequate to reality. In our opinion, the qualitative and quantitative similarity of the results presented in this paper, obtained by using both molecular and continuum calculations gives an important argument for a positive answer: both approaches exhibit the basic properties of the transition to a chaotic fluid motion. In particular, we want to stress the fact that a model with binary collisions is able to reproduce macroscopic instability patterns quite accurately. 198 2.49 2.48 2.47 2.46 Qz=1(t) 2.45 2.44 t>600.0 2.43 2.42 2.41 t=195.0 2.4 2.39 2.45 FIGURE 6. 2.5 2.55 2.6 2.65 Qz=0(t) 2.7 2.75 2.8 2.85 The final orbit traced by the convection RB system in the plane (Qz=0 (t), Qz=1 (t)) for Fr = 1.5 1.48 500<t<1500 1.46 1.44 Qz=1(t) 1.42 1.4 1.38 1.36 1.34 1.1 FIGURE 7. 1.2 1.3 1.4 1.5 Qz=0(t) 1.6 1.7 1.8 1.9 The attractor’s orbit in the phase plane (Qz=0 (t), Qz=1 (t)) for Fr = 1.2. Acknowledgments Two of the authors, S.S. and V.R., would like to acknowledge the financial support provided by the Bulgarian Ministry of Education and Sciences with Grant No. MM806/98. The research of C.C. was performed in the frame of European TMR (contract n. ERBFMRXCT97O157) and was also partially supported by MURST of Italy. 199 0.78 500<t<2000 0.76 0.72 Q z=1 (t) 0.74 0.7 0.68 0.66 0.66 FIGURE 8. 0.68 0.7 0.72 0.74 Qz=0(t) 0.76 0.78 0.8 0.82 The orbit traced by the RB system in the phase plane (Qz=0 (t), Qz=1 (t)) for the case (Kn = 0.001, Fr = 1.0, r = 0.2). REFERENCES 1. 2. 3. A. Garcia, in Microscopic simulation of Complex Flows, M. Mareschal, ed., New York: Plenum, 1990, p. 177. S. Stefanov and C. Cercignani, Euro. J. of Mechanics B/Fluids, 11, 543 (1992). H. Sugimoto, Y. Sone, K. Aoki and H. Motohashi, in Rarefied Gas Dynamics 19, J. Harvey and G. Lord, eds., Oxford: Oxford University Press, 1995, Vol. I, 135-141. 4. T. Watanabe, H. Kaburaki and M. Yokokawa, Phys. Rev. E, 49, 4060 (1994). 5. C. Robinson and J. Harvey, in Rarefied Gas Dynamics Symposium 20, Ching Shen, ed., Beijing: Peking University Press, 1997, pp. 168-173. 6. Y. Sone, K. Aoki and H. Sugimoto, Phys. Fluids, 9, 3898 (1997). 7. J. Struckmeier, SIAM J. Sci. Comput. 21, 1435 (2000). 8. E. Golshtein and T. Elperin, J. Thermophysics and Heat Transfer, 10, 250 (1996). 9. S. Stefanov, P. Gospodinov and C. Cercignani, Phys. Fluids, 10, 289 (1998). 10. G. Bird, Molecular Gas Dynamics and the Direct Simulation of Gas Flows, Oxford: Clarendon Press, 1994. 11. G. Bird, in: Rarefied Gas Dynamics Symposium 20, Ching Shen, ed., Beijing: Peking University Press, 1997, pp.624-629. 200 1 0.8 z 0.6 0.4 0.2 0 t=76.5 0.2 0 1 2 3 y 4 5 6 1 0.8 z 0.6 0.4 0.2 t=100.0 0.2 0 0 1 2 3 y 4 5 1 2 3 y 4 6 1 0.8 z 0.6 0.4 0.2 t=200.0 0.2 0 0 5 6 1 0.8 z 0.6 0.4 0.2 0 t=300.0 0.2 0 1 2 3 y 4 5 6 1 0.8 z 0.6 0.4 0.2 0 FIGURE 9. t=400.0 0.2 0 1 2 3 y 4 5 6 The five pictures show some typical evolutions of the velocity vector field for an aspect ratio A = 6. 201
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