搜索

x

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

楔形体上复合液滴润湿铺展行为的格子Boltzmann方法研究

张晓林 黄军杰

引用本文:
Citation:

楔形体上复合液滴润湿铺展行为的格子Boltzmann方法研究

张晓林, 黄军杰

Study on wetting and spreading behaviors of compound droplets on wedge by lattice Boltzmann method

Zhang Xiao-Lin, Huang Jun-Jie
PDF
HTML
导出引用
  • 固壁上液滴的润湿铺展行为是自然界中普遍存在的现象, 针对楔形体上的复合液滴, 采用基于相场理论的格子Boltzmann方法对其润湿铺展行为进行探究. 通过理论分析和数值模拟, 发现液滴润湿面积随接触角、楔形体顶角的减小而增大, 液滴也越容易分裂. 处于理论分裂临界状态附近的液滴, 在一定密度比、黏度比条件下将沿楔形体壁面分裂. 基于模拟结果生成以密度比、黏度比为坐标的液滴分裂状态相图, 比较发现相同条件下初始状态为平衡态的复合液滴更不易发生分裂. 另外模拟还表明非对称界面张力及非对称运动黏度比也是影响液滴分裂结果的重要因素.
    The wetting and spreading of droplets on solid walls are commonly seen in nature. The study of such a phenomenon can deepen our understanding of solid-liquid interaction and promote the development of relevant cutting-edge technological applications. In this work, the lattice Boltzmann method based on phase field theory is used to investigate the wetting and spreading of a compound droplet on a wedge. This method combines the finite-difference solution of the Cahn-Hilliard equations for ternary fluids to capture the interface dynamics and the lattice Boltzmann method for the hydrodynamics of the flow. Symmetric compound droplets with equal interfacial tensions on a wedge are considered first. Through theoretical analysis and numerical simulation, it is found that the wetted area on the wedge increases with the decrease of the contact angle of the wedge surface and the wedge apex angle. Depending on these two factors, the droplet may or may not split on the wedge. We also find that the droplet near the critical state predicted not to split by static equilibrium analysis could split during the spreading along the wall of the wedge under certain density and viscosity ratios. Based on the simulation results, a phase diagram of the droplet splitting state is generated with the density ratio and viscosity ratio as the coordinates. As the density ratio and kinematic viscosity ratio increase, the inertia effect becomes more prominent in the wetting and spreading process and the droplet is more likely to split. By comparing the phase diagrams in different initial conditions, it is found that under the same conditions, the compound droplet with an equilibrium initial state is less likely to split than that with an unequilibrium initial state, which is possibly because the initial total energy of the former is relatively small. Our study also shows that the kinematic viscosity ratio between the left half and the right half droplet may affect the results of droplet splitting. The increase of such a viscosity difference is conducive to the splitting of the compound droplet. Besides, asymmetric compound droplets with unequal interfacial tensions are also simulated, and it is found that the greater the wrapping degree between the left half and right half, the more difficult it is to separate the compound droplet.
      通信作者: 黄军杰, jjhuang@cqu.edu.cn
    • 基金项目: 国家自然科学基金(批准号: 11972098)资助的课题.
      Corresponding author: Huang Jun-Jie, jjhuang@cqu.edu.cn
    • Funds: Project supported by the National Natural Science Foundation of China (Grant No. 11972098).
    [1]

    Latthe S S, Sutar R S, Kodag V S, et al. 2019 Prog. Org. Coat. 128 52Google Scholar

    [2]

    Woerthmann B M, Totzauer L, Briesen H 2022 Powder Technol. 404 117443Google Scholar

    [3]

    Eres M H, Schwartz L W, Roy R V 2000 Phys. Fluids 12 1278Google Scholar

    [4]

    Dai Q W, Huang W, Wang X L, Khonsari M M 2021 Tribol. Int. 154 106749Google Scholar

    [5]

    Yang Y, Li X J, Zheng X, Chen Z Y, Zhou Q F, Chen Y 2018 Adv. Mater. 30 1704912Google Scholar

    [6]

    Young T 1805 Philos. Trans. R. Soc. London 95 65

    [7]

    Sui T, Wang J D, Chen D R 2011 J. Colloid Interface Sci. 358 284Google Scholar

    [8]

    Li Y Q, Wu H A, Wang F C 2016 J. Phys. D Appl. Phys. 49 085304Google Scholar

    [9]

    Han Z Y, Duan L, Kang Q 2019 AIP Adv. 9 085203Google Scholar

    [10]

    Wang F, Schiller U D 2021 Soft Matter 17 5486Google Scholar

    [11]

    Herminghaus S, Brinkmann M, Seemann R 2008 Ann. Rev. Mater. Res. 38 101Google Scholar

    [12]

    Chang F M, Hong S J, Sheng Y J, Tsao H K 2010 J. Phys. Chem. C 114 1615Google Scholar

    [13]

    Zhou L M, Yang S M, Quan N N, et al. 2021 ACS Appl. Mater. Interfaces 13 55726Google Scholar

    [14]

    Ma B J, Shan L, Dogruoz B, Agonafer D 2019 Langmuir 35 12264Google Scholar

    [15]

    Courbin L, Bird J C, Reyssat M, Stone H A 2009 J. Phys. Condes. Matter 21 464127Google Scholar

    [16]

    Frank X, Perre P 2012 Phys. Fluids 24 042101Google Scholar

    [17]

    Lee Y, Matsushima N, Yada S, Nita S, Kodama T, Amberg G, Shiomi J 2019 Sci. Rep. 9 7787Google Scholar

    [18]

    Ben Said M, Selzer M, Nestler B, Braun D, Greiner C, Garcke H 2014 Langmuir 30 4033Google Scholar

    [19]

    Weyer F, Ben Said M, Hotzer J, Berghoff M, Dreesen L, Nestler B, Vandewalle N 2015 Langmuir 31 7799Google Scholar

    [20]

    Zhang C Y, Ding H, Gao P, Wu Y L 2016 J. Comput. Phys. 309 37Google Scholar

    [21]

    He Q, Li Y J, Huang W F, Hu Y, Wang Y M 2020 Phys. Rev. E 101 033307Google Scholar

    [22]

    Li S, Lu Y, Jiang F, Liu H H 2021 Phys. Rev. E 104 015310Google Scholar

    [23]

    Huang J J 2021 Phys. Fluids 33 072105Google Scholar

    [24]

    Chen S Y, Doolen G D 1998 Annu. Rev. Fluid Mech. 30 329Google Scholar

    [25]

    Jacqmin D 1999 J. Comput. Phys. 155 96Google Scholar

    [26]

    Huang J J, Wu J, Huang H B 2018 Eur. Phys. J. E 41 1Google Scholar

    [27]

    Liang H, Chai Z H, Shi B C, Guo Z L, Zhang T 2014 Phys. Rev. E 90 063311Google Scholar

    [28]

    Lee T 2009 Comput. Math. Appl. 58 987Google Scholar

    [29]

    Bouzidi M, Firdaouss M, Lallemand P 2001 Phys. Fluids 13 3452Google Scholar

    [30]

    Lallemand P, Luo L S 2000 Phys. Rev. E 61 6546Google Scholar

    [31]

    Guo Z L, Shi B C, Zheng C G 2011 Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 369 2283Google Scholar

    [32]

    Carlson A, Do-Quang M, Amberg G 2011 J. Fluid Mech. 682 213Google Scholar

  • 图 1  物理模型图示

    Fig. 1.  Physical model illustration.

    图 2  不同网格密度下液滴的平衡形态

    Fig. 2.  Equilibrium morphology of the droplet at different mesh densities.

    图 3  不同网格密度下液滴接触线位置的演化 (a) $ {r_{{\rho _{13}}}} = $$ {r_{{\nu _{13}}}} = 1 $; (b) $ {r_{{\rho _{13}}}} = {r_{{\nu _{13}}}} = 10 $

    Fig. 3.  Evolution of the contact line position of droplet under the different mesh densities: (a) $ {r_{{\rho _{13}}}} = {r_{{\nu _{13}}}} = 1 $;(b) $ {r_{{\rho _{13}}}} = $$ {r_{{\nu _{13}}}} = 10 $.

    图 4  不同计算域$ {L_x} \times {L_y} $下液滴的平衡形态

    Fig. 4.  Equilibrium morphology of droplets in different computational domains of $ {L_x} \times {L_y} $.

    图 5  不同计算域$ {L_x} \times {L_y} $下液滴接触线位置的演化

    Fig. 5.  Evolution of the contact line position of the droplet in different computational domains of $ {L_x} \times {L_y} $.

    图 6  不同接触角下的液滴平衡形态

    Fig. 6.  Equilibrium morphology of droplets at different contact angles.

    图 7  h随接触角的变化曲线

    Fig. 7.  Variation of h with the contact angle.

    图 8  不同顶角楔形体上液滴的平衡形态

    Fig. 8.  Equilibrium morphology of droplets on wedges with different vertex angles.

    图 9  液滴分裂/不分裂理论临界界线

    Fig. 9.  Theoretical critical boundary of droplet splitting/non-splitting state.

    图 10  初始状态为非平衡态Janus状液滴的润湿铺展过程及速度场分布 (a) $ {r_{{\rho _{13}}}} = 50 $, $ {r_{{\nu _{13}}}} = 1 $; (b) $ {r_{{\rho _{13}}}} = 50 $, $ {r_{{\nu _{13}}}} = 5 $

    Fig. 10.  Wetting and spreading process and velocity field distribution of Janus-like droplet with non-equilibrium initial state: (a) $ {r_{{\rho _{13}}}} = 50 $, $ {r_{{\nu _{13}}}} = 1 $; (b) $ {r_{{\rho _{13}}}} = 50 $, $ {r_{{\nu _{13}}}} = 5 $.

    图 11  初始状态为非平衡态Janus状液滴的润湿分裂状态相图 (a) rv13 - rρ13; (b) rη13 - rρ13

    Fig. 11.  Split/Non-split phase diagram of Janus-like droplets with non-equilibrium initial state: (a) rv13 vs. rρ13; (b) rη13 vs. rρ13.

    图 12  初始状态为非平衡态时系统动能最大值随运动黏度比的变化曲线

    Fig. 12.  Variation of the maximum kinetic energy of the system with the kinematic viscosity ratio under the non-equilibrium initial state.

    图 13  初始状态为平衡态复合液滴的润湿铺展过程及速度场分布 (a) $ {r_{{\rho _{13}}}} = 50 $, $ {r_{{\nu _{13}}}} = 5 $; (b) $ {r_{{\rho _{13}}}} = 50 $, $ {r_{{\nu _{13}}}} = 10 $

    Fig. 13.  Wetting and spreading process and velocity field distribution of compound droplet with equilibrium initial state: (a) $ {r_{{\rho _{13}}}} = 50 $, $ {r_{{\nu _{13}}}} = 5 $; (b) $ {r_{{\rho _{13}}}} = 50 $, $ {r_{{\nu _{13}}}} = 10 $.

    图 14  初始状态为平衡态复合液滴的润湿分裂状态相图 (a) rv13 - rρ13; (b) rη13 - rρ13

    Fig. 14.  Split/non-split phase diagram of compound droplets with equilibrium initial state: (a) rv13 vs. rρ13; (b) rη13 vs. rρ13

    图 15  左右侧液滴接触线位置的演化

    Fig. 15.  Evolution of the position of the left and right droplet contact lines.

    图 16  左右侧液滴接触线位置的演化

    Fig. 16.  Evolution of the position of the left and right droplet contact lines.

  • [1]

    Latthe S S, Sutar R S, Kodag V S, et al. 2019 Prog. Org. Coat. 128 52Google Scholar

    [2]

    Woerthmann B M, Totzauer L, Briesen H 2022 Powder Technol. 404 117443Google Scholar

    [3]

    Eres M H, Schwartz L W, Roy R V 2000 Phys. Fluids 12 1278Google Scholar

    [4]

    Dai Q W, Huang W, Wang X L, Khonsari M M 2021 Tribol. Int. 154 106749Google Scholar

    [5]

    Yang Y, Li X J, Zheng X, Chen Z Y, Zhou Q F, Chen Y 2018 Adv. Mater. 30 1704912Google Scholar

    [6]

    Young T 1805 Philos. Trans. R. Soc. London 95 65

    [7]

    Sui T, Wang J D, Chen D R 2011 J. Colloid Interface Sci. 358 284Google Scholar

    [8]

    Li Y Q, Wu H A, Wang F C 2016 J. Phys. D Appl. Phys. 49 085304Google Scholar

    [9]

    Han Z Y, Duan L, Kang Q 2019 AIP Adv. 9 085203Google Scholar

    [10]

    Wang F, Schiller U D 2021 Soft Matter 17 5486Google Scholar

    [11]

    Herminghaus S, Brinkmann M, Seemann R 2008 Ann. Rev. Mater. Res. 38 101Google Scholar

    [12]

    Chang F M, Hong S J, Sheng Y J, Tsao H K 2010 J. Phys. Chem. C 114 1615Google Scholar

    [13]

    Zhou L M, Yang S M, Quan N N, et al. 2021 ACS Appl. Mater. Interfaces 13 55726Google Scholar

    [14]

    Ma B J, Shan L, Dogruoz B, Agonafer D 2019 Langmuir 35 12264Google Scholar

    [15]

    Courbin L, Bird J C, Reyssat M, Stone H A 2009 J. Phys. Condes. Matter 21 464127Google Scholar

    [16]

    Frank X, Perre P 2012 Phys. Fluids 24 042101Google Scholar

    [17]

    Lee Y, Matsushima N, Yada S, Nita S, Kodama T, Amberg G, Shiomi J 2019 Sci. Rep. 9 7787Google Scholar

    [18]

    Ben Said M, Selzer M, Nestler B, Braun D, Greiner C, Garcke H 2014 Langmuir 30 4033Google Scholar

    [19]

    Weyer F, Ben Said M, Hotzer J, Berghoff M, Dreesen L, Nestler B, Vandewalle N 2015 Langmuir 31 7799Google Scholar

    [20]

    Zhang C Y, Ding H, Gao P, Wu Y L 2016 J. Comput. Phys. 309 37Google Scholar

    [21]

    He Q, Li Y J, Huang W F, Hu Y, Wang Y M 2020 Phys. Rev. E 101 033307Google Scholar

    [22]

    Li S, Lu Y, Jiang F, Liu H H 2021 Phys. Rev. E 104 015310Google Scholar

    [23]

    Huang J J 2021 Phys. Fluids 33 072105Google Scholar

    [24]

    Chen S Y, Doolen G D 1998 Annu. Rev. Fluid Mech. 30 329Google Scholar

    [25]

    Jacqmin D 1999 J. Comput. Phys. 155 96Google Scholar

    [26]

    Huang J J, Wu J, Huang H B 2018 Eur. Phys. J. E 41 1Google Scholar

    [27]

    Liang H, Chai Z H, Shi B C, Guo Z L, Zhang T 2014 Phys. Rev. E 90 063311Google Scholar

    [28]

    Lee T 2009 Comput. Math. Appl. 58 987Google Scholar

    [29]

    Bouzidi M, Firdaouss M, Lallemand P 2001 Phys. Fluids 13 3452Google Scholar

    [30]

    Lallemand P, Luo L S 2000 Phys. Rev. E 61 6546Google Scholar

    [31]

    Guo Z L, Shi B C, Zheng C G 2011 Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 369 2283Google Scholar

    [32]

    Carlson A, Do-Quang M, Amberg G 2011 J. Fluid Mech. 682 213Google Scholar

  • [1] 赖瑶瑶, 陈鑫梦, 柴振华, 施保昌. 基于格子Boltzmann方法的钉扎螺旋波反馈控制. 物理学报, 2024, 73(4): 040502. doi: 10.7498/aps.73.20231549
    [2] 邓梓龙, 李鹏宇, 张璇, 刘向东. T型微通道中液滴半阻塞不对称分裂行为研究. 物理学报, 2021, 70(7): 074701. doi: 10.7498/aps.70.20201171
    [3] 李玉杰, 黄军杰, 肖旭斌. 液滴撞击圆柱内表面的数值研究. 物理学报, 2018, 67(18): 184701. doi: 10.7498/aps.67.20180364
    [4] 周光雨, 陈力, 张鸿雁, 崔海航. 基于格子Boltzmann方法的自驱动Janus颗粒扩散泳力. 物理学报, 2017, 66(8): 084703. doi: 10.7498/aps.66.084703
    [5] 梁宏, 柴振华, 施保昌. 分叉微通道内液滴动力学行为的格子Boltzmann方法模拟. 物理学报, 2016, 65(20): 204701. doi: 10.7498/aps.65.204701
    [6] 黄虎, 洪宁, 梁宏, 施保昌, 柴振华. 液滴撞击液膜过程的格子Boltzmann方法模拟. 物理学报, 2016, 65(8): 084702. doi: 10.7498/aps.65.084702
    [7] 张娅, 潘光, 黄桥高. 疏水表面减阻的格子Boltzmann方法数值模拟. 物理学报, 2015, 64(18): 184702. doi: 10.7498/aps.64.184702
    [8] 黄桥高, 潘光, 宋保维. 疏水表面滑移流动及减阻特性的格子Boltzmann方法模拟. 物理学报, 2014, 63(5): 054701. doi: 10.7498/aps.63.054701
    [9] 任晟, 张家忠, 张亚苗, 卫丁. 零质量射流激励下诱发液体相变及其格子Boltzmann方法模拟. 物理学报, 2014, 63(2): 024702. doi: 10.7498/aps.63.024702
    [10] 解文军, 滕鹏飞. 声悬浮过程的格子Boltzmann方法研究. 物理学报, 2014, 63(16): 164301. doi: 10.7498/aps.63.164301
    [11] 史冬岩, 王志凯, 张阿漫. 任意复杂流-固边界的格子Boltzmann处理方法. 物理学报, 2014, 63(7): 074703. doi: 10.7498/aps.63.074703
    [12] 刘邱祖, 寇子明, 贾月梅, 吴娟, 韩振南, 张倩倩. 改性疏水固壁润湿性反转现象的格子Boltzmann方法模拟. 物理学报, 2014, 63(10): 104701. doi: 10.7498/aps.63.104701
    [13] 郭亚丽, 徐鹤函, 沈胜强, 魏兰. 利用格子Boltzmann方法模拟矩形腔内纳米流体Raleigh-Benard对流. 物理学报, 2013, 62(14): 144704. doi: 10.7498/aps.62.144704
    [14] 曾建邦, 李隆键, 蒋方明. 气泡成核过程的格子Boltzmann方法模拟. 物理学报, 2013, 62(17): 176401. doi: 10.7498/aps.62.176401
    [15] 刘邱祖, 寇子明, 韩振南, 高贵军. 基于格子Boltzmann方法的液滴沿固壁铺展动态过程模拟. 物理学报, 2013, 62(23): 234701. doi: 10.7498/aps.62.234701
    [16] 曾建邦, 李隆键, 廖全, 蒋方明. 池沸腾中气泡生长过程的格子Boltzmann方法模拟. 物理学报, 2011, 60(6): 066401. doi: 10.7498/aps.60.066401
    [17] 曾建邦, 李隆键, 廖全, 陈清华, 崔文智, 潘良明. 格子Boltzmann方法在相变过程中的应用. 物理学报, 2010, 59(1): 178-185. doi: 10.7498/aps.59.178
    [18] 石自媛, 胡国辉, 周哲玮. 润湿性梯度驱动液滴运动的格子Boltzmann模拟. 物理学报, 2010, 59(4): 2595-2600. doi: 10.7498/aps.59.2595
    [19] 卢玉华, 詹杰民. 三维方腔温盐双扩散的格子Boltzmann方法数值模拟. 物理学报, 2006, 55(9): 4774-4782. doi: 10.7498/aps.55.4774
    [20] 李华兵, 黄乒花, 刘慕仁, 孔令江. 用格子Boltzmann方法模拟MKDV方程. 物理学报, 2001, 50(5): 837-840. doi: 10.7498/aps.50.837
计量
  • 文章访问数:  3524
  • PDF下载量:  57
  • 被引次数: 0
出版历程
  • 收稿日期:  2022-07-22
  • 修回日期:  2022-10-22
  • 上网日期:  2022-10-27
  • 刊出日期:  2023-01-20

/

返回文章
返回