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Energy conservation dissipative particle dynamics (eDPD) is a mesoscale numerical simulation method of studying the heat transport process. In previous studies, when the Boussinesq assumption was introduced into the eDPD system to study the natural convection, the system was generally considered to be incompressible, and the effect of the thermal expansion of the eDPD system itself on the simulation results was often neglected, which would cause errors in the simulation. In the present study, the thermal expansion characteristic of the eDPD system is first investigated, and the thermal expansion coefficient β of the eDPD system is obtained by eDPD simulation. Then, based on the thermal expansion characteristic of the eDPD system itself, the natural convection is simulated with different values of Rayleigh number Ra and different geometries, specifically, square cavity, concentric rings, and eccentric rings, and reasonable temperature and velocity fields are obtained, and they are in agreement with the simulated results by the finite volume method (FVM). The error between the eDPD simulation, in which the natural convection is driven by thermal expansion of the eDPD system itself, and FVM simulated result is considerably smaller than the errors observed in previous studies where Boussinesq assumption was directly adopted to simulate natural convection phenomena while neglecting the thermal expansion effect of eDPD system. It is shown that the effect of the eDPD system’s own thermal expansion characteristic needs to be considered when introducing the Boussinesq assumption in the eDPD system, and further, the calculation of the Ra number is modified in this paper.
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Keywords:
- energy conservation dissipative particle dynamics /
- Boussinesq hypothesis /
- natural convection /
- thermal expansion
[1] Hoogerbrugge P J, Koelman J 1992 Europhys. Lett. 19 155Google Scholar
[2] Español P, Warren P 1995 Europhys. Lett. 30 191Google Scholar
[3] Groot R D, Warren P 1997 J. Chem. Phys. 107 4423Google Scholar
[4] Avalos J B, Mackie A D 1997 Europhys. Lett. 40 141Google Scholar
[5] Español P 1997 Europhys. Lett. 40 631Google Scholar
[6] Ripoll M, Español P, Ernst M H 1998 Int. J. Mod. Phys. C 9 1329Google Scholar
[7] Ripoll M, Español P 2001 Int. J. Mod. Phys. C 15 7271Google Scholar
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[10] Lukes A C J R 2009 J. Heat Trans. 131 033108Google Scholar
[11] Homman A, Maillet J, Roussel J 2016 J. Chem. Phys. 144 024112Google Scholar
[12] Stoltz G 2017 J. Comput. Phys. 340 451Google Scholar
[13] Qiao R, He P 2007 Mol. Simulat. 33 677Google Scholar
[14] Abu-Nada E 2010 Mol. Simulat. 36 382Google Scholar
[15] Abu-Nada E 2010 Phys. Rev. E 81 056704Google Scholar
[16] Abu-Nada E 2011 J. Heat Trans. 133 112502Google Scholar
[17] Abu-Nada E 2015 Numer. Heat Tr. A Appl. 67 808Google Scholar
[18] Abu-Nada E 2015 Int. J. Therm. Sci. 92 72Google Scholar
[19] Mai-Duy N, Phan-Thien N 2013 J. Comput. Phys. 245 150Google Scholar
[20] Pan D Y, Phan-Thien N, Mai-Duy N 2013 J. Comput. Phys. 242 196Google Scholar
[21] 张凯 2017 硕士学位论文 (太原: 中北大学)
Zhang K 2017 M. S. Thesis (Taiyuan: North University of China
[22] Ripoll M 2002 Ph. D. Dissertation (Spain: UNED
[23] Fan X J, Phan-Thien N, Yong N T, Wu X H, Xu D 2003 Phys. Fluids 15 11Google Scholar
[24] Koschmieder E, Pallas S 1974 Heat Mass Transfer 17 991Google Scholar
[25] Zhang J , Önskog T 2017 Phys. Rev. E 96 043104Google Scholar
[26] 曹知红, 罗康, 易红亮 2014工程热 35 1840
Cao Z H, Luo K, Yi H L 2014 J. Eng. Thermophys. 35 1840
[27] Cao Z H, Luo K, Yi H L 2014 Int. J. Heat Mass Tran. 74 60Google Scholar
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图 9 Ra为7300时eDPD和FVM模拟的方腔内自然对流速度线对比图 (a) X = 0.5时VX沿Y方向变化曲线; (b) X = 1.5时VX沿Y方向变化曲线; (c) X = 0.3时VY沿Y方向变化曲线; (d) X = 1.0时VY沿Y方向变化曲线
Figure 9. Comparison of natural convection velocity profile in the square cavity simulated by eDPD and FVM when Ra is 7300: (a) Variation curve of VX along Y-direction at X = 0.5; (b) variation curve of VX along Y-direction at X = 1.5; (c) variation curve of VY along the Y-direction at X = 0.3; (d) variation curve of VY along the Y-direction at X = 1.0.
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[1] Hoogerbrugge P J, Koelman J 1992 Europhys. Lett. 19 155Google Scholar
[2] Español P, Warren P 1995 Europhys. Lett. 30 191Google Scholar
[3] Groot R D, Warren P 1997 J. Chem. Phys. 107 4423Google Scholar
[4] Avalos J B, Mackie A D 1997 Europhys. Lett. 40 141Google Scholar
[5] Español P 1997 Europhys. Lett. 40 631Google Scholar
[6] Ripoll M, Español P, Ernst M H 1998 Int. J. Mod. Phys. C 9 1329Google Scholar
[7] Ripoll M, Español P 2001 Int. J. Mod. Phys. C 15 7271Google Scholar
[8] Mackie A D, Avalos J B, Navas V 1999 Phys. Chem. Chem. Phys. 1 2039Google Scholar
[9] Avalos J B, Mackie A D 1999 J. Chem. Phys. 111 5267Google Scholar
[10] Lukes A C J R 2009 J. Heat Trans. 131 033108Google Scholar
[11] Homman A, Maillet J, Roussel J 2016 J. Chem. Phys. 144 024112Google Scholar
[12] Stoltz G 2017 J. Comput. Phys. 340 451Google Scholar
[13] Qiao R, He P 2007 Mol. Simulat. 33 677Google Scholar
[14] Abu-Nada E 2010 Mol. Simulat. 36 382Google Scholar
[15] Abu-Nada E 2010 Phys. Rev. E 81 056704Google Scholar
[16] Abu-Nada E 2011 J. Heat Trans. 133 112502Google Scholar
[17] Abu-Nada E 2015 Numer. Heat Tr. A Appl. 67 808Google Scholar
[18] Abu-Nada E 2015 Int. J. Therm. Sci. 92 72Google Scholar
[19] Mai-Duy N, Phan-Thien N 2013 J. Comput. Phys. 245 150Google Scholar
[20] Pan D Y, Phan-Thien N, Mai-Duy N 2013 J. Comput. Phys. 242 196Google Scholar
[21] 张凯 2017 硕士学位论文 (太原: 中北大学)
Zhang K 2017 M. S. Thesis (Taiyuan: North University of China
[22] Ripoll M 2002 Ph. D. Dissertation (Spain: UNED
[23] Fan X J, Phan-Thien N, Yong N T, Wu X H, Xu D 2003 Phys. Fluids 15 11Google Scholar
[24] Koschmieder E, Pallas S 1974 Heat Mass Transfer 17 991Google Scholar
[25] Zhang J , Önskog T 2017 Phys. Rev. E 96 043104Google Scholar
[26] 曹知红, 罗康, 易红亮 2014工程热 35 1840
Cao Z H, Luo K, Yi H L 2014 J. Eng. Thermophys. 35 1840
[27] Cao Z H, Luo K, Yi H L 2014 Int. J. Heat Mass Tran. 74 60Google Scholar
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