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Frontiers of Physics

ISSN 2095-0462

ISSN 2095-0470(Online)

CN 11-5994/O4

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2018 Impact Factor: 2.483

Front. Phys.    2020, Vol. 15 Issue (6) : 62503    https://doi.org/10.1007/s11467-020-1014-0
RESEARCH ARTICLE
Kinetic modeling of multiphase flow based on simplified Enskog equation
Yu-Dong Zhang1, Ai-Guo Xu2,3(), Jing-Jiang Qiu1, Hong-Tao Wei1, Zung-Hang Wei1()
1. School of Mechanics and Safety Engineering, Zhengzhou University, Zhengzhou 450001, China
2. Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, P. O. Box 8009-26, Beijing 100088, China
3. Center for Applied Physics and Technology, MOE Key Center for High Energy Density Physics Simulations, College of Engineering, Peking University, Beijing 100871, China
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Abstract

A new kinetic model for multiphase flow was presented under the framework of the discrete Boltzmann method (DBM). Significantly different from the previous DBM, a bottom-up approach was adopted in this model. The effects of molecular size and repulsion potential were described by the Enskog collision model; the attraction potential was obtained through the mean-field approximation method. The molecular interactions, which result in the non-ideal equation of state and surface tension, were directly introduced as an external force term. Several typical benchmark problems, including Couette flow, two-phase coexistence curve, the Laplace law, phase separation, and the collision of two droplets, were simulated to verify the model. Especially, for two types of droplet collisions, the strengths of two non-equilibrium effects, D¯2* and D¯3* , defined through the second and third order non-conserved kinetic moments of (ffeq), are comparatively investigated, where f(feq)is the (equilibrium) distribution function. It is interesting to find that during the collision process, D¯2* is always significantly larger than D¯3*, D¯2* can be used to identify the different stages of the collision process and to distinguish different types of collisions. The modeling method can be directly extended to a higher-order model for the case where the non-equilibrium effect is strong, and the linear constitutive law of viscous stress is no longer valid.

Keywords multiphase flow      discrete Boltzmann method      Enskog equation      non-equilibrium characteristics     
Corresponding Author(s): Ai-Guo Xu,Zung-Hang Wei   
Just Accepted Date: 29 September 2020   Issue Date: 03 November 2020
 Cite this article:   
Yu-Dong Zhang,Ai-Guo Xu,Jing-Jiang Qiu, et al. Kinetic modeling of multiphase flow based on simplified Enskog equation[J]. Front. Phys. , 2020, 15(6): 62503.
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https://academic.hep.com.cn/fop/EN/10.1007/s11467-020-1014-0
https://academic.hep.com.cn/fop/EN/Y2020/V15/I6/62503
1 Y. Chen, Q. Xie, A. Sari, P. V. Bardy, and A. Saeedi, Oil/water/rock wettability: Influencing factors and implications for low salinity water flooding in carbonate reservoirs, Fuel 215, 171 (2018)
https://doi.org/10.1016/j.fuel.2017.10.031
2 Y. Chen and Z. Deng, Hydrodynamics of a droplet passing through a microfluidic T-junction, J. Fluid Mech. 819, 401 (2017)
https://doi.org/10.1017/jfm.2017.181
3 J. Tice, H. Song, A. Lyon, and R. Ismagilov, Formation of droplets and mixing in multiphase microfluidics at low values of the reynolds and the capillary numbers, Langmuir 19(22), 9127 (2003)
https://doi.org/10.1021/la030090w
4 A. Günther and K. Jensen, Multiphase microfluidics: From flow characteristics to chemical and materials synthesis, Lab Chip 6(12), 1487 (2006)
https://doi.org/10.1039/B609851G
5 E. Christopher, Brennen, Fundamentals of Multiphase Flow, Cambridge: Cambridge University Press, 2005
6 R. Saurel and C. Pantano, Diffuse-interface capturing methods for compressible two-phase flows, Annu. Rev. Fluid Mech. 50(1), 105 (2018)
https://doi.org/10.1146/annurev-fluid-122316-050109
7 A. Frezzotti, P. Barbante, and L. Gibelli, Direct simulation Monte Carlo applications to liquid–vapor flows, Phys. Fluids 31(6), 062103 (2019)
https://doi.org/10.1063/1.5097738
8 M. Wörner, Numerical modeling of multiphase flows in microfluidics and micro process engineering: A review of methods and applications, Microfluid. Nanofluidics 12(6), 841 (2012)
https://doi.org/10.1007/s10404-012-0940-8
9 Y. Zhang, A. Xu, G. Zhang, Z. Chen, and P. Wang, Discrete Boltzmann method for non-equilibrium flows: Based on Shakhov model, Comput. Phys. Commun. 238, 50 (2019)
https://doi.org/10.1016/j.cpc.2018.12.018
10 M. Moseler and U. Landman, Formation, stability, and breakup of nanojets, Science 289(5482), 1165 (2000)
https://doi.org/10.1126/science.289.5482.1165
11 S. Zhan, Y. Su, Z. Jin, M. Zhang, W. Wang, Y. Hao, and L. Li, Study of liquid-liquid two-phase flow in hydrophilic nanochannels by molecular simulations and theoretical modeling, Chem. Eng. J. 395, 125053 (2020)
https://doi.org/10.1016/j.cej.2020.125053
12 S. Wolfram, Cellular automaton fluids 1: Basic theory, J. Stat. Phys. 45(3–4), 471 (1986)
https://doi.org/10.1007/BF01021083
13 S. Chen and G. Doolen, Lattice Boltzmann method for fluid flows, Annu. Rev. Fluid Mech. 30(1), 329 (1998)
https://doi.org/10.1146/annurev.fluid.30.1.329
14 S. Succi, The Lattice Boltzmann Equation: For Fluid Dynamics and Beyond, Oxford: Oxford University Press, 2001
15 X. He and G. D. Doolen, Thermodynamic foundations of kinetic theory and lattice Boltzmann models for multiphase flows, J. Stat. Phys. 107(1–2), 309 (2002)
16 R. Qin, Mesoscopic interparticle potentials in the lattice Boltzmann equation for multiphase fluids, Phys. Rev. E 73(6), 066703 (2006)
https://doi.org/10.1103/PhysRevE.73.066703
17 Q. Li, K. Luo, Q. Kang, Y. He, Q. Chen, and Q. Liu, Lattice Boltzmann methods for multiphase flow and phasechange heat transfer, Pror. Energy Combust. Sci. 52, 62 (2016)
https://doi.org/10.1016/j.pecs.2015.10.001
18 R. Qin, Thermodynamic properties of phase separation in shear flow, Comput. Fluids 117, 11 (2015)
https://doi.org/10.1016/j.compfluid.2015.04.024
19 K. Timm, H. Kusumaatmaja, A. Kuzmin, O. Shardt, G. Silva, and E. Viggen, The Lattice Boltzmann Method-Principles and Practice, Springer, 2017
20 D. Grunau, S. Chen, and K. Eggert, A lattice Boltzmann model for multiphase fluid flows, Phys. Fluids 5(10), 2557 (1993)
https://doi.org/10.1063/1.858769
21 X. Shan and H. Chen, Lattice Boltzmann model for simulating flows with multiple phases and components, Phys. Rev. E 47(3), 1815 (1993)
https://doi.org/10.1103/PhysRevE.47.1815
22 M. R. Swift, W. R. Osborn, and J. M. Yeomans, Lattice Boltzmann simulation of non-ideal fluids, Phys. Rev. Lett. 75(5), 830 (1995)
https://doi.org/10.1103/PhysRevLett.75.830
23 A. Xu, G. Gonnella, and A. Lamura, Phase-separating binary fluids under oscillatory shear, Phys. Rev. E 67(5), 056105 (2003)
https://doi.org/10.1103/PhysRevE.67.056105
24 X. He, S. Chen, and R. Zhang, A lattice Boltzmann scheme for incompressible multiphase flow and its application in simulation of Rayleigh–Taylor instability, J. Comput. Phys. 152(2), 642 (1999)
https://doi.org/10.1006/jcph.1999.6257
25 H. Liang, Q. Li, B. Shi, and Z. Chai, Lattice Boltzmann simulation of three-dimensional Rayleigh-Taylor instability, Phys. Rev. E 93(3), 033113 (2016)
https://doi.org/10.1103/PhysRevE.93.033113
26 H. Wang, X. Yuan, H. Liang, Z. Chai, and B. Shi, A brief review of the phase-field-based lattice Boltzmann method for multiphase flows, Capillarity 2(3), 33 (2019)
https://doi.org/10.26804/capi.2019.03.01
27 D. Sun, A discrete kinetic scheme to model anisotropic liquid–solid phase transitions, Appl. Math. Lett. 103, 106222 (2020)
https://doi.org/10.1016/j.aml.2020.106222
28 M. Watari and M. Tsutahara, Two-dimensional thermal model of the finite-di ference lattice Boltzmann method with high spatial isotropy, Phys. Rev. E 67(3), 036306 (2003)
https://doi.org/10.1103/PhysRevE.67.036306
29 G. Gonnella, A. Lamura, and V. Sofonea, Lattice Boltzmann simulation of thermal non-ideal fluids, Phys. Rev. E 76(3), 036703 (2007)
https://doi.org/10.1103/PhysRevE.76.036703
30 A. Onuki, Dynamic van der Waals theory of two-phase fluids in heat flow, Phys. Rev. Lett. 94(5), 054501 (2005)
https://doi.org/10.1103/PhysRevLett.94.054501
31 Y. Gan, A. Xu, G. Zhang, and Y. Li, FFT-LB modeling of thermal liquid-vapor system, Commum. Theor. Phys. 57(4), 681 (2012)
https://doi.org/10.1088/0253-6102/57/4/24
32 Y. Gan, A. Xu, G. Zhang, Y. Li, and H. Li, Phase separation in thermal systems: A lattice Boltzmann study and morphological characterization, Phys. Rev. E 84(4), 046715 (2011)
https://doi.org/10.1103/PhysRevE.84.046715
33 A. Xu, G. Zhang, Y. Gan, F. Chen, and X. Yu, Lattice Boltzmann modeling and simulation of compressible flows, Front. Phys. 7(5), 582 (2012)
https://doi.org/10.1007/s11467-012-0269-5
34 A. Xu, G. Zhang, and Y. Ying, Progess of discrete Boltzmann modeling and simulation of combustion system, Acta Physica Sinica 64, 184701 (2015)
35 A. Xu, G. Zhang, and Y. Gan, Progress in studies on discrete Boltzmann modeling of phase separation process, Mech. Eng. 38, 361 (2016)
36 A. Xu, G. Zhang, and Y. Zhang, Discrete Boltzmann modeling of compressible flows, in: G. Z. Kyzas and A.C. Mitropoulos (Eds.), Kinetic Theory, InTech, Rijeka, 2018, Ch. 02
https://doi.org/10.5772/intechopen.70748
37 C. Lin and K. Luo, Discrete Boltzmann modeling of unsteady reactive flows with nonequilibrium effects, Phys. Rev. E 99(1), 012142 (2019)
https://doi.org/10.1103/PhysRevE.99.012142
38 Y. Gan, A. Xu, G. Zhang, Y. Zhang, and S. Succi, Discrete Boltzmann trans-scale modeling of high-speed compressible flows, Phys. Rev. E 97(5), 053312 (2018)
https://doi.org/10.1103/PhysRevE.97.053312
39 Y. Gan, A. Xu, G. Zhang, and S. Succi, Discrete Boltzmann modeling of multiphase flows: hydrodynamic and thermodynamic non-equilibrium effects, Soft Matter 11(26), 5336 (2015)
https://doi.org/10.1039/C5SM01125F
40 Y. Zhang, A. Xu, G. Zhang, Y. Gan, Z. Chen, and S. Succi, Entropy production in thermal phase separation: A kinetic-theory approach, Soft Matter 15(10), 2245 (2019)
https://doi.org/10.1039/C8SM02637H
41 B. Yan, A. Xu, G. Zhang, Y. Ying, and H. Li, Lattice Boltzmann model for combustion and detonation, Front. Phys. 8(1), 94 (2013)
https://doi.org/10.1007/s11467-013-0286-z
42 A. Xu, C. Lin, G. Zhang, and Y. Li, Multiple-relaxationtime lattice Boltzmann kinetic model for combustion, Phys. Rev. E 91(4), 043306 (2015)
https://doi.org/10.1103/PhysRevE.91.043306
43 C. Lin, A. Xu, G. Zhang, and Y. Li, Double-distributionfunction discrete Boltzmann model for combustion, Combust. Flame 164, 137 (2016)
https://doi.org/10.1016/j.combustflame.2015.11.010
44 Y. Zhang, A. Xu, G. Zhang, C. Zhu, and C. Lin, Kinetic modeling of detonation and effects of negative temperature coefficient, Combust. Flame 173, 483 (2016)
https://doi.org/10.1016/j.combustflame.2016.04.003
45 C. Lin and K. Luo, MRT discrete Boltzmann method for compressible exothermic reactive flows, Comput. Fluids 166, 176 (2018)
https://doi.org/10.1016/j.compfluid.2018.02.012
46 C. Lin, K. Luo, L. Fei, and S. Succi, A multi-component discrete Boltzmann model for nonequilibrium reactive flows, Sci. Rep. 7(1), 14580 (2017)
https://doi.org/10.1038/s41598-017-14824-9
47 A. Xu, G. Zhang, Y. Zhang, P. Wang, and Y. Ying, Discrete Boltzmann model for implosion and explosion related compressible ow with spherical symmetry, Front. Phys. 13(5), 135102 (2018)
https://doi.org/10.1007/s11467-018-0777-z
48 H. Lai, A. Xu, G. Zhang, Y. Gan, Y. Ying, and S. Succi, Non-equilibrium thermohydrodynamic effects on the Rayleigh-Taylor instability incompressible flow, Phys. Rev. E 94(2), 023106 (2016)
https://doi.org/10.1103/PhysRevE.94.023106
49 F. Chen, A. Xu, and G. Zhang, Viscosity, heat conductivity, and Prandtl number effects in the Rayleigh Taylor instability, Front. Phys. 11(6), 114703 (2016)
https://doi.org/10.1007/s11467-016-0603-4
50 H. Ye, H. Lai, D. Li, Y. Gan, C. Lin, L. Chen, and A. Xu, Knudsen number effects on two-dimensional Rayleigh-Taylor instability in compressible fluid: Based on a discrete Boltzmann method, Entropy (Basel) 22(5), 500 (2020)
https://doi.org/10.3390/e22050500
51 Y. Gan, A. Xu, G. Zhang, C. Lin, H. Lai, and Z. Liu, Nonequilibrium and morphological characterizations of Kelvin–Helmholtz instability in compressible flows, Front. Phys. 14(4), 43602 (2019)
https://doi.org/10.1007/s11467-019-0885-4
52 C. Lin, A. Xu, G. Zhang, K. Luo, and Y. Li, Discrete Boltzmann modeling of Rayleigh–Taylor instability in twocomponent compressible flows, Phys. Rev. E 96(5), 053305 (2017)
https://doi.org/10.1103/PhysRevE.96.053305
53 H. Liu, W. Kang, Q. Zhang, Y. Zhang, H. Duan, and X. He, Molecular dynamics simulations of microscopic structure of ultra strong shock waves in dense helium, Front. Phys. 11(6), 115206 (2016)
https://doi.org/10.1007/s11467-016-0590-5
54 H. Liu, Y. Zhang, W. Kang, P. Zhang, H. Duan, and X. He, Molecular dynamics simulation of strong shock waves propagating in dense deuterium, taking into consideration effects of excited electrons, Phys. Rev. E 95(2), 023201 (2017)
https://doi.org/10.1103/PhysRevE.95.023201
55 H. Liu, W. Kang, H. Duan, P. Zhang, and X. He, Recent progresses on numerical investigations of microscopic structure of strong shock waves in fluid, Sci. China Phys. Mech. Astron. 47(7), 070003 (2017)
https://doi.org/10.1360/SSPMA2016-00405
56 J. Meng, Y. Zhang, N. Hadjiconstantinou, G. Radtke, and X. Shan, Lattice ellipsoidal statistical BGK model for thermal non-equilibrium flows, J. Fluid Mech. 718, 347 (2013)
https://doi.org/10.1017/jfm.2012.616
57 Y. Gan, A. Xu, G. Zhang, and S. Succi, Discrete Boltzmann modeling of multiphase flows: Hydrodynamic and thermodynamic non-equilibrium effects, Soft Matter 11(26), 5336 (2015)
https://doi.org/10.1039/C5SM01125F
58 Q. Shen, Rarefied Gas Dynamics: Fundamentals, Simulations and Micro Flows, Springer, 2005
https://doi.org/10.1007/b138784
59 S. Chapman, T. Cowling, and D. Burnett, The Mathematical Theory of Non-Uniform Gases: An Account of The Kinetic Theory of Viscosity, Thermal Conduction and Diffusion in Gases, Cambridge: Cambridge University Press, 1990
60 Z. Guo and C. Zheng, Theory and Applications of Lattice Boltzmann Method, Beijing: Science Press, 2008
61 V. Bongiorno and H. T. Davis, Modified van der Waals theory of fluid interfaces, Phys. Rev. A 12(5), 2213 (1975)
https://doi.org/10.1103/PhysRevA.12.2213
62 H. Huang, M. Sukop, and X. Lu, Multiphase Lattice Boltzmann Methods: Theory and Application, John Wiley & Sons, Inc, 2015
https://doi.org/10.1002/9781118971451
[1] Yan-Biao Gan, Ai-Guo Xu, Guang-Cai Zhang, Chuan-Dong Lin, Hui-Lin Lai, Zhi-Peng Liu. Nonequilibrium and morphological characterizations of Kelvin–Helmholtz instability in compressible flows[J]. Front. Phys. , 2019, 14(4): 43602-.
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