• <tr id="yyy80"></tr>
  • <sup id="yyy80"></sup>
  • <tfoot id="yyy80"><noscript id="yyy80"></noscript></tfoot>
  • 99热精品在线国产_美女午夜性视频免费_国产精品国产高清国产av_av欧美777_自拍偷自拍亚洲精品老妇_亚洲熟女精品中文字幕_www日本黄色视频网_国产精品野战在线观看 ?

    LATTICE BOLTZMANN METHOD SIMULATIONS FOR MULTIPHASE FLUIDS WITH REDICH-KWONG EQUATION OF STATE*

    2011-05-08 05:55:19WEIYikunQIANYuehong

    WEI Yi-kun, QIAN Yue-hong

    Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai 200072 Shanghai, China, E-mail: ykun_wei@sina.com

    LATTICE BOLTZMANN METHOD SIMULATIONS FOR MULTIPHASE FLUIDS WITH REDICH-KWONG EQUATION OF STATE*

    WEI Yi-kun, QIAN Yue-hong

    Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai 200072 Shanghai, China, E-mail: ykun_wei@sina.com

    (Received February 23, 2011, Revised July 25, 2011)

    In this article we state that the compression factor of the Redlich-Kwong Equation Of State (EOS) is smaller than that of van der Waals EOS. The Redlich-Kwong EOS is in better agreement with experimental data on coexistence curves at the critical point than the van der Waals EOS. We implement the Redlich-Kwong EOS in the Lattice Boltzmann Method (LBM) simulations via a pseudo-potential approach. We propose a new force, which can obtain computational stationary and reach larger density ratio. As a result, multi-phase flows with large density ratio (up to 1012in the stationary case) can be simulated. We perform four numerical simulations, which are respectively related to single liquid droplet, vapor-liquid separation, surface tension and liquid coalescence of two droplets.

    Redlich-Kwong equation of state, lattice Bhatager-Gross-Krook models, numerical simulations, phase transition

    Introduction

    In this article a Redlich-Kwong EOS pseudopotential approach is proposed in LBM simulations. A new body force is then introduced in lattice Boltzmann equation. We show that Redlich-Kwong EOS is more suitable for a liquid-vapor system than the van der Waals EOS. The implementation of the Redlich-Kwong EOS in LBM simulations is straightforward. Four numerical simulations are performed, including single liquid droplet, vapor-liquid separation, surface tension and liquid coalescence of two droplets, which demonstrate the applicability of this method.

    1. Compression factor and equation of state

    There are several equations of state for liquid and vapor. The most classical EOS was proposed by Van der Waals[6], given as

    where p is pressure, v is volume and T is temperature. The theoretical critical values of density p, control parameter T and v can be obtained from the following equations

    where a and b are constants. The compression factor is defined as

    where R is constant. Table 1 shows the compression factors of critical point in common gases. One can find that most of them are between 0.2 and 0.3, which are significantly smaller than the theoretical value 3/8.

    Table 1 The compression factor of critical point different gases[10]

    A modified van der Waals EOS is proposed by Redlich and Kwong, namely the Redlich-Kwong EOS

    The theoretical value (Zc) is now 1/3. Hence, the compression factor of Redlich-Kwong EOS is closer to real gases than that of van der Waals EOS.

    The van der Waals EOS and Redlich-Kwong

    EOS are normalized as the following:

    where p′, T′ and v′ are the reduced variables of pressure, temperature and volume.

    Fig.1 Comparison of the coexistence curves with experimental data: Curve 1 -van der Waals EOS, Curve 2 -Redlich-Kwong EOS, symbols-experimental data[6]

    Figure 1 shows the coexistence curves for van der Waals EOS and Redlich-Kwong EOS. For comparison, experimental data from Ref.[6] are also shown as symbols. One can find that the Redlich-Kwong EOS curve is in better agreement with the experimental data. It indicates that the Redlich-Kwong EOS is more suitable for the real gases simulations. We thus propose to implement the Redlich-Kwong EOS in the LBM simulations via a pseudo-potential approach.

    2. Lattice Boltzmann method

    The LBE with a Bhatnagar-Gross-Krook collision term is written as

    where fkis the particle density with given velocity, τ the collision time, k the index of discrete velocity, Δfka fictitious forcing term describing intera-ctions between neighboring sites, known as body force. It will be explained in more detail later, and ckthe discrete velocity by the following choice:

    It is sufficient to choose the equilibrium distribution function as

    where Δu = F ·Δt /ρ, η is white noise between–0.005 and 0.005, and F is the special mesoscopic forces acting between every pair of neighbor nodes[13]. To describe the phase transition in this model, an attractive force is introduced between every neighbor nodes[5]. For two-dimensional case we have

    where εk’s are the interaction strength, being 1 for k ={1,2,3,4}and 1/4 for k={5,6,7,8}, The coefficient δ is equal to 2/3 and h is lattice spacing, Φ( x) is the interaction potential function. We choose potential function as

    where U = P(ρ,T )?ρθ, and P(ρ,T) is determined by Redlich-Kwong EOS. We rewrite the reduced variables as

    where the coefficient q is PcΔt2/ρch2. If we take h / Δt =103m/s , then q≈0.01 for several fluids, e.g., argon[5]. Thus θ ′ = θ(Δ t/h)2=1/3, and h is the lattice spacing.

    The Chapman-Enskog expansion is a common tool to derive the macroscopic hydrodynamic equations corresponding to specific LBM. Performing a Taylor expansion of equilibrium distribution functions, we can obtain

    Meanwhile, we also obtain the momentum equation

    where ν and ζ are shear and bulk viscosities

    The EOS for this model has the form

    3. Numerical simulations

    In this section, we first verify the coexistence curve of the numerical simulation results and the theoretical curve for the Redlich-Kwong EOS. Then we perform four numerical simulations. They are single liquid droplet, vapor-liquid separation, surface tension and liquid coalescence of two droplets.

    Fig.2 Coexistence curve for the Redlich-Kwong EOS curve and τ=1

    3.1 Coexistence curves

    Numerical simulations are performed on 100× 100 lattice. Periodic boundary conditions are used in both directions, τ=1 and q=0.01.The system reaches equilibrium after about 105iterations. The density in the bulk phases are then measured for different values of the reduced temperature and plotted in Fig.2. The numerical solution shown as the solid line is found to be in good agreement with simulation results.

    Fig.3(a) A snapshot of liquid droplet

    Fig.3(b) Equilibrium density profile normal to a planar interface for a Redlich-Kwong EOS for the reduced temperature T′= 0.19, y=50, τ=1 and q= 0.005

    3.2 Single liquid droplet

    Fig.4 The evolution of phase separation, t=300, 1 000, 6 000, T′= 0.65 and τ=1

    3.3 Vapor-liquid separation

    Numerical simulations are performed in two dimensions on a 200×200 lattice nodes. We chooses noise intensity η= 0.01, initial mass densityρ′=1 and particles distributed uniformly. The reduced temperature T′= 0.65, the relaxation time τ=1. The periodic boundary condition is applied in this case. In Fig.4, it is shown the domain morphology at times steps of 300, 1 000 and 6 000. As time evolves, the liquid and vapor are separated gradually. Finally, a big liquid mass can be formed at about center of computational domain.

    Fig.5 A comparison of surface tension with the theoretical result for the SC model with the surface tension values obtained from the LBM simulations

    3.4 Surface tension

    Using the Laplace law, we can obtain the surface tension numerically

    where Pin′ and Pout′are the reduced pressure inside and outside the bubble. R is a radius of bubble. Theoretical result of the surface tension for LBM was proposed by Shan and Chen, which is calculated from the following equation (SC model)[14]

    where c is the lattice constant, D is the dimension of space, n is the direction normal to the interface, and P′ is the reduced pressure. Numerical simulations are performed on 100×100 lattices. Periodic boundary conditions are used in both directions, τ= 1 and q=0.01.The system reaches equilibrium after about 105iterations. Surface tension is then measured for different values of the reduced temperature and plotted in Fig.5. One can find that LBM simulations are in good agreement with the numerical solution of Eq.(21).

    3.5 Liquid coalescence of two droplets

    Fig.6(a) Snapshots showing coalescence of two droplets at different LBM time-steps, t=1 300, 2 000, 3 000, T′= 0.65, k=0.01 and τ=1

    Fig.6(b) Experimental results that is collision of droplets of PIB (430 Pa·s) in PDMS (60 Pa·s), t=0 s, t=10 s, t =12.4 s , t =16.8 s[15]

    4. Conclusion

    In summary, we have found that the compression factor of the Redlich-Kwong EOS is smaller than that of van der Waals EOS. We have introduced a nonlinear harmonic distribution function about Δu in body force, which remains the stabilization of interfacial tension in liquid-vapor system and obtain large density ratio (up to 1012in the stationary case). We have implemented the Redlich-Kwong EOS in the LBM simulations via a pseudo-potential approach, and illustrated with the cases of single liquid droplet, vapor-liquid separation, surface tension and liquid coalescence of two droplets.

    Acknowledgements

    The authors wish to acknowledge sincerely to Doctor Xu Hui for very useful discussions.

    References

    [1] NIE Xiao-bo, SHAN Xiao-wen and CHEN Hu-dong. Thermal lattice Boltzmann model for gases with internal degrees of freedom[J]. Physical Review E, 2008, 77(1): 0357011-0357019.

    [2] PRASIANAKIS N. I., KARLIN I. V. Lattice Boltzmann method for thermal flow simulation on standard lattices[J]. Physical Review E, 2007, 76(1): 0167022-0167032.

    [3] HE Xiao-yi, DOOLEN G. D. Thermodynamic foundations of kinetic theory and lattice Boltzmann models for multiphase flows[J]. Journal of Statistical Physics, 2002, 107(2): 309-328.

    [4] ZHANG Rao-yang, CHEN Hu-dong. Lattice Boltzmann method for simulations of liquid-vapor thermal flows[J]. Physical Review E, 2003, 67(6): 0667111-0667116.

    [5] KUPERSHTOKH A. L., MEDVEDEV D. A. and KARPOV D. I. On equations of state in a lattice Boltzmann method[J]. Computers and Mathematics with Applications, 2009, 58(1): 965-974.

    [6] YUAN Peng, SCHAEFER L. Equations of state in a lattice Boltzmann model[J]. Physics of Fluids, 2006, 18(4): 0421011-0421019.

    [7] YANG Jia-qing, LU De-tang and LI Dao-lun. A new method for boundary condition in lattice Boltzmann method[J]. Chinese Journal of Hydrodynamics, 2009, 24(3): 279-285(in Chinese).

    [8] GUO Zhao-li, SHI Bao-chang and ZHAO T. S. et al. Discrete effects on boundary conditions for the lattce Boltzmann equation in simulation microscale gas flow[J]. Physical Review E, 2007, 76(1): 0567041-0567049.

    [9] DING Lei, ZHANG Qing-he. 3D lattice Boltzmann simulation of forces on a fixed spherical particle in oscillatory boundary layer flow[J]. Chinese Journal of Hydrodynamics, 2010, 25(3): 391-397(in Chinese).

    [10] LI Chun, Zhang Li-yuan. Thermodynamics[M]. Beijing: Higher Education Press, 2002(in Chinese).

    [11] QIAN Y. H., D'HUMIèRES D. and LALLEMAND P. Lattice BGK models for Navier-Stokes equation[J]. Europe Physics Letter, 1992, 17(6): 479-484.

    [12] KUPERSHTOKH A. L. New method of incorporating a body force term into the lattice Boltzmann equation[J]. Proceeding of the Fifth International Workshop. Poitiers, France, 2008, 241-246.

    [13] GUO Zhao-li, ZHENG Chu-guang. Discrete lattice effects on the forcing term in the lattice Boltzmann method[J]. Physical Review E, 2002, 65(2): 0463081-0463088.

    [14] SHI Zi-yuan, YAN Yong-hua and YANG Fan et al. A lattice Boltzmann method for simulation of a threedimensional drop impact on a liquid film[J]. Journal of Hydrodynamics, 2008, 20(3): 267-272..

    [15] VERDIER C. The influence of the viscosity ratio on polymer droplet collision in quiescent blends[J]. Journal of Polymer, 2001, 6(1): 6999-7007.

    10.1016/S1001-6058(10)60180-1

    * Project supported by the Ministry of Education in China (Grant No. IRT0844), the Shanghai Science and Technology Commission Project of Excellent Academic Leaders (Grant No. 11XD1402300).

    Biography: WEI Yi-kun (1980-), Male, Ph. D. Candidate

    QIAN Yue-hong, E-mail: qian@shu.edu.cn

    桐庐县| 高清| 宁国市| 台北市| 区。| 玛曲县| 农安县| 金溪县| 揭东县| 锡林郭勒盟| 恩施市| 蒲江县| 唐河县| 禄丰县| 绵竹市| 鹿邑县| 潞城市| 新绛县| 河西区| 五家渠市| 白河县| 稻城县| 中方县| 石狮市| 原平市| 白银市| 南华县| 漯河市| 咸宁市| 堆龙德庆县| 汉寿县| 中方县| 华亭县| 万年县| 阿拉尔市| 朝阳市| 雷波县| 宝兴县| 柳河县| 南江县| 英吉沙县|