Abstract A lattice Boltzmann method for gas-liquid two-phase flow involving non-Newtonian fluids is developed. Bubble formation in a flow-focusing microchannel is simulated by the method. The influences of flow rate ratio, surface tension, wetting properties, and rheological characteristics of the fluid on the two-phase flow are analyzed. The results indicate that the flow pattern transfers from slug flow to dry-plug flow with a sufficiently small capillary number. Due to the presence of three-phase contact lines, the contact angle has a more significant effect on the dry-plug flow pattern than on the slug flow pattern. The deformation of the front and rear meniscus of a bubble in the shear-thinning fluid can be explained by the variation of the capillary number. The reduced viscosity and increased contact angle are beneficial for the drag reduction in a microchannel. It also demonstrates the effectiveness of the current method to simulate the gas-liquid two-phase flow in a microchannel.
Kai Feng(冯凯), Gang Yang(杨刚), and Huichen Zhang(张会臣) Simulation of gas-liquid two-phase flow in a flow-focusing microchannel with the lattice Boltzmann method 2023 Chin. Phys. B 32 114703
[1] Zhao C X and Middelberg A P J 2011 Chem. Eng. Sci.66 1394 [2] Zhang S, Zhu C, Feng H, Fu T and Ma Y 2021 Chem. Eng. Sci.229 116040 [3] Wang H, Liu L, Zhu C, Ma Y and Fu T 2022 Chem. Eng. J.444 136679 [4] Feng K and Zhang H 2021 Chem. Eng. Res. Des.173 158 [5] Sontti S G and Atta A 2017 Ind. Eng. Chem. Res.56 7401 [6] Saito S, Yoshino M and Suzuki K 2023 Comput. Fluids254 105797 [7] Zhang C, Fu T, Zhu C, Jiang S, Ma Y and Li H Z 2017 Chem. Eng. Sci.172 278 [8] Kawahara A, Yonemoto Y and Arakaki Y 2020 Flow Turbul. Combust.105 1325 [9] Bretherton F P 1961 J. Fluid Mech.10 166 [10] Kreutzer M T, Kapteijn F, Moulijn J A, Kleijn C R and Heiszwolf J J 2005 AIChE J.51 2428 [11] Mansour M H, Kawahara A and Sadatomi M 2015 Int. J. Multiph. Flow72 263 [12] Rothman D H and Keller J M 1988 J. Stat. Phys.52 1119 [13] Shan X and Chen H 1993 Phys. Rev. E47 1815 [14] Liu X, Chai Z, Zhan C, Shi B and Zhang W 2022 Multiscale Model. Simul.20 1411 [15] Liu X, Chai Z and Shi B 2023 Phys. Rev. E107 035308 [16] Wang H, Yuan X, Liang H, Chai Z and Shi B 2019 Capillarity2 33 [17] Zheng H W, Shu C and Chew Y T 2006 J. Comput. Phys.218 353 [18] Ma R, Zhou X, Dong B, Li W and Gong J 2018 Int. J. Heat Fluid Flow71 1 [19] Liang H, Xu J, Chen J, Wang H, Chai Z and Shi B 2018 Phys. Rev. E97 033309 [20] Dong B, Zhang Y, Zhou X, Chen C and Li W 2019 Therm. Sci. Eng. Prog.10 309 [21] Chai Z, Shi B, Guo Z and Rong F 2011 J. Non-Newton. Fluid Mech.166 332 [22] Chai Z and Zhao T S 2012 Phys. Rev. E86 016705 [23] Gabbanelli S, Drazer G and Koplik J 2005 Phys. Rev. E72 046312 [24] Young T 1805 Philos. Trans. R. Soc.95 65 [25] Liang H, Liu H, Chai Z and Shi B 2019 Phys. Rev. E99 063306 [26] Ding H and Spelt P D M 2007 Phys. Rev. E75 046708 [27] Feng K and Zhang H 2020 Int. J. Mod. Phys. C32 2150036 [28] Lou Q, Guo Z and Shi B 2013 Phys. Rev. E87 063301 [29] Fu T, Ma Y, Funfschilling D and Li H Z 2011 Microfluid Nanofluid10 1135 [30] Heravi P and Torabi F 2016 Int. J. Multiph. Flow87 9 [31] Yu Z, Hemminger O and Fan L 2007 Chem. Eng. Sci.62 7172 [32] Shi Y, Tang G H and Xia H H 2014 Comput. Fluids90 155
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