物性参数对液滴的聚并自弹跳的影响及其关联分析

王宇航; 袁猛; 明平剑

doi:10.7498/aps.70.20201714

摘要

超疏水表面上液滴因聚并诱导而引起的自弹跳行为具有巨大的潜在应用价值, 因此有关问题引起了广泛关注. 目前液滴的物性参数对其自弹跳特性的影响却鲜有报道. 本文数值模拟了不同的液体物性参数下液滴的聚并自弹跳行为, 并利用灰色关联法研究了物性参数变化分别与液滴跳起时的真实弹跳速度及液滴和表面的真实接触时间的关联程度. 在无量纲的时间条件下, 液滴的聚并自弹跳的动力学特性仅受Oh数的影响. 在真实的时间条件下, 黏度变化与液滴聚并所需的真实时间无关, 而减小密度比会同时减少聚并过程和跳起过程中所需的真实时间. 无量纲的弹跳速度随着Oh数的增大而减小, 而减小黏度和密度都会增加液滴跳起时的真实弹跳速度. 根据灰色关联度的计算结果可知, 黏度的变化与真实弹跳速度的关联性更高, 密度的变化与真实接触时间关联性更高.

关键词:

Abstract

Coalescence-induced self-propelled jumping of droplets on superhydrophobic surfaces has been widely concerned because of a great number of potential applications such as in the enhancement of condensation heat transfer, self-cleaning and anti-icing. The droplet jumping phenomenon exists in a gas-liquid two-phase system, and the physical parameters of fluid cannot be ignored. However, there are few reports on the influence of physical parameters on droplet jumping dynamics at present. In this paper, the three-dimensional volume-of-fluid method is used to simulate the coalescence-induced self-propelled jumping behaviors of droplets, then the energy terms are studied, and finally the grey relational analysis method is used to calculate the relation degree of the change of physical parameters (the viscosity and the density) to the real jumping velocity and the real solid-liquid contact time at the droplet departure time, respectively. Based on the changing trend of jumping velocity, the process of coalescence-induced self-propelled jumping can be divided into four stages, namely, the expansion of liquid bridge, the impact between the liquid bridge and the surface, the droplet departure from the surface, and the deceleration and oscillation in the air. Under the condition of dimensionless time, the dynamic characteristics of coalescence and jumping of droplets are affected only by Oh number, which is independent of the viscosity and the density. In addition, the change of Oh number only affects the above third stage of droplet departure from the surface. Under the condition of real time, the varied viscosity has no connection with the real time of droplet coalescence, and it only changes the real time of the third stage before droplet jumping. Meanwhile, the dimensionless jumping velocity decreases with Oh number increasing, while the real jumping velocity increases when the viscosity and the density both descend. According to the calculated results of grey relational degree, the relation between the change of viscosity and the real jumping velocity is greater, while the relation between the change of density and the real contact time is greater. This work not only is favorable for a better understanding of droplet jumping, but also provides more ideas and theoretical bases for follow-up relevant studies.

Keywords:

作者及机构信息

1.
哈尔滨工程大学动力与能源工程学院, 哈尔滨　150001

2.
中山大学中法核工程与技术学院, 珠海　519082

通信作者: 明平剑, mingpj@mail.sysu.edu.cn

基金项目: 国家自然科学基金(批准号: 51479038)、中央高校基本科研业务费专项资金(批准号: HEUCFP201711)和国家留学基金(批准号: 202006680020)资助的课题

Authors and contacts

1.
College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China

2.
Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-Sen University, Zhuhai 519082, China

Corresponding author: Ming Ping-Jian, mingpj@mail.sysu.edu.cn

Funds: Project supported by the National Natural Science Foundation of China (Grant No. 51479038), the Fundamental Research Funds for the Central Universities, China (Grant No. HEUCFP201711), and the China Scholarship Council (Grant No. 202006680020)

文章全文 : translate this paragraph

参考文献

[1]	Boreyko J B, Chen C H 2009 Phys. Rev. Lett. 103 184501 Google Scholar
[2]	Chen X, Wu J, Ma R, Hua M, Koratkar N, Yao S, Wang Z 2011 Adv. Funct. Mater. 21 4617 Google Scholar
[3]	Miljkovic N, Enright R, Nam Y, Lopez K, Dou N, Sack J, Wang E N 2013 Nano Lett. 13 179 Google Scholar
[4]	He M, Ding Y, Chen J, Song Y 2016 ACS Nano 10 9456 Google Scholar
[5]	Han T, Kwak H J, Kim J H, Kwon J T, Kim M H 2019 Langmuir 35 9093 Google Scholar
[6]	Hou Y, Yu M, Chen X, Wang Z, Yao S 2015 ACS Nano 9 71 Google Scholar
[7]	Zhu J, Luo Y, Tian J, Li J, Gao X 2015 ACS Appl. Mater. Interfaces 7 10660 Google Scholar
[8]	Zhao Y, Luo Y, Zhu J, Li J, Gao X 2015 ACS Appl. Mater. Interfaces 7 11719 Google Scholar
[9]	Watson G S, Gellender M, Watson J A 2014 Biofouling 30 427 Google Scholar
[10]	Wisdom K M, Watson J A, Qu X, Liu F, Watson G S, Chen C H 2013 Proc. Natl. Acad. Sci. U. S. A. 110 7992 Google Scholar
[11]	Chavez R L, Liu F, Feng J J, Chen C H 2016 Appl. Phys. Lett. 109 011601 Google Scholar
[12]	Boreyko J B, Collier C P 2013 ACS Nano 7 1618 Google Scholar
[13]	Wiedenheft K F, Guo H A, Qu X, Boreyko J B, Liu F, Zhang K, Eid F, Choudhury A, Li Z, Chen C H 2017 Appl. Phys. Lett. 110 141601 Google Scholar
[14]	Liu F, Ghigliotti G, Feng J J, Chen C H 2014 J. Fluid Mech. 752 39 Google Scholar
[15]	Liu F, Ghigliotti G, Feng J J, Chen C H 2014 J. Fluid Mech. 752 22 Google Scholar
[16]	Farokhirad S, Morris J F, Lee T 2015 Phys. Fluids 27 102102 Google Scholar
[17]	Farokhirad S, Lee T 2017 Int. J. Multiphase Flow 95 220 Google Scholar
[18]	Shi Y, Tang G H, Xia H H 2015 Int. J. Heat Mass Transfer 88 445 Google Scholar
[19]	Wang K, Li R, Liang Q, Jiang R, Zheng Y, Lan Z, Ma X 2017 Appl. Phys. Lett. 111 061603 Google Scholar
[20]	Wang Y, Ming P 2018 AIP Adv. 8 065320 Google Scholar
[21]	Wang Y, Ming P 2019 Phys. Fluids 31 122108 Google Scholar
[22]	Wasserfall J, Figueiredo P, Kneer R, Rohlfs W, Pischke P 2017 Phys. Rev. Fluids 2 123601 Google Scholar
[23]	Khatir Z, Kubiak K Z, Jimack P K, Mathia T G 2016 Appl. Therm. Eng. 106 1337 Google Scholar
[24]	Chu F, Yuan Z, Zhang X, Wu X 2018 Int. J. Heat Mass Transfer 121 315 Google Scholar
[25]	Attarzadeh R, Dolatabadi A 2017 Phys. Fluids 29 012104 Google Scholar
[26]	Liang Z, Keblinski P 2015 Appl. Phys. Lett. 107 143105 Google Scholar
[27]	Gao S, Liao Q, Liu W, Liu Z 2018 J. Phys. Chem. Lett. 9 13 Google Scholar
[28]	Wang Y, Ming P 2021 J. Appl. Phys. 129 014702 Google Scholar
[29]	刘天庆, 孙玮, 李香琴, 孙相彧, 艾宏儒 2014 63 086801 Google Scholar Liu T Q, Sun W, Li X Q, Sun X Y, Ai H R 2014 Acta Phys. Sin. 63 086801 Google Scholar
[30]	Mouterde T, Nguyen T V, Takahashi H, Clanet C, Shimoyama I, Quéré D 2017 Phys. Rev. Fluids 2 112001 Google Scholar
[31]	王晨阳, 段倩倩, 周凯, 姚静, 苏敏, 傅意超, 纪俊羊, 洪鑫, 刘雪芹, 汪志勇 2020 69 100701 Google Scholar Wang C Y, Duan Q Q, Zhou K, Yao J, Su M, Fu Y C, Ji J Y, Hong X, Liu X Q, Wang Z Y 2020 Acta Phys. Sin. 69 100701 Google Scholar

施引文献

图 1 计算域的边界条件与网格

Fig. 1. Boundary conditions and grids of computational domain.

下载: 全尺寸图片幻灯片

图 2 不同网格尺寸条件下的最大真实弹跳速度

Fig. 2. Maximum real jumping velocity with different mesh sizes of core region.

下载: 全尺寸图片幻灯片

图 3 不同黏度比条件下液滴的聚并和自弹跳过程　(a), (f), (k) t^* = 0.168; (b), (g), (l) t^* = 0.604; (c), (h), (m) t^* = 1.309; (d), (i), (n) t^* = 2.686; (e), (j), (o) t^* = 3.257

Fig. 3. Coalescence and jumping process of droplets with different viscosity ratios: (a), (f), (k) t^* = 0.168; (b), (g), (l) t^* = 0.604; (c), (h), (m) t^* = 1.309; (d), (i), (n) t^* = 2.686; (e), (j), (o) t^* = 3.257.

下载: 全尺寸图片幻灯片

图 4 (a) 不同黏度比时液滴质心处的无量纲弹跳速度; (b) 黏度变化对液滴跳离表面前所经历的各个阶段的无量纲持续时间的影响

Fig. 4. (a) Dimensionless jumping velocity of droplet with different viscosity ratios; (b) effects of the change of viscosity on the dimensionless duration of each stage prior to droplet jumping.

下载: 全尺寸图片幻灯片

图 5 不同黏度比条件下流场的速度矢量图　(a), (d), (g) t^* = 1.309; (b), (e), (h) t^* = 2.686; (c), (f), (i) t^* = 3.257

Fig. 5. Vectors of flow field with different viscosity ratios: (a), (d), (g) t^* = 1.309; (b), (e), (h) t^* = 2.686; (c), (f), (i) t^* = 3.257.

下载: 全尺寸图片幻灯片

图 6 (a) 不同黏度比时聚并自弹跳过程中表面能的变化; (b) 不同黏度比的液滴在跳起时具有的黏性耗散能; (c) 不同黏度比的液滴在跳起时刻具有的动能

Fig. 6. (a) Surface energy variation with different viscosity ratios during the coalescence and jumping process; (b) viscous dissipation energy of jumping droplets with different viscosity ratios at departure time; (c) kinetic energy of jumping droplets with different viscosity ratios at departure time.

下载: 全尺寸图片幻灯片

图 7 不同密度比条件下液滴的聚并和自弹跳过程　(a), (f), (k) t^* = 0.168; (b), (g), (l) t^* = 0.604; (c), (h), (m) t^* = 1.309; (d), (i), (n) t^* = 2.686; (e), (j), (o) t^* = 3.257

Fig. 7. Coalescence and jumping process of droplets with different density ratios: (a), (f), (k) t^* = 0.168; (b), (g), (l) t^* = 0.604; (c), (h), (m) t^* = 1.309; (d), (i), (n) t^* = 2.686; (e), (j), (o) t^* = 3.257.

下载: 全尺寸图片幻灯片

图 8 (a) 密度变化对液滴跳离表面前所经历的各个阶段的无量纲持续时间的影响; (b) 密度变化对液滴跳离表面前所经历的各个阶段的真实持续时间的影响; (c)不同密度比时液滴质心处的无量纲弹跳速度

Fig. 8. (a) Effect of the change of density on the dimensionless duration of each stage prior to droplet jumping; (b) effect of the change of density on the real time of each stage prior to droplet jumping; (c) dimensionless jumping velocity of droplet with different density ratios.

下载: 全尺寸图片幻灯片

图 9 (a) 不同密度比时聚并自弹跳过程中表面能的变化; (b) 不同密度比的液滴在跳起时具有的黏性耗散能; (c) 不同密度比的液滴在跳起时具有的动能

Fig. 9. (a) Surface energy variation with different density ratios during the coalescence and jumping process; (b) viscous dissipation energy of jumping droplets with different density ratios at departure time; (c) kinetic energy of jumping droplets with different density ratios at departure time.

下载: 全尺寸图片幻灯片

图 10 不同密度比条件下流场的速度矢量图　(a), (d), (g) t^* = 1.309; (b), (e), (h) t^* = 2.686; (c), (f), (i) t^* = 3.257

Fig. 10. Vectors of flow field with different density ratios: (a), (d), (g) t^* = 1.309; (b), (e), (h) t^* = 2.686; (c), (f), (i) t^* = 3.257.

下载: 全尺寸图片幻灯片

表 1 流体物性参数

Table 1. Physical parameters of fluids.

温度T/℃ 表面张力系数σ/(N·m^–1) 液体密度ρ_l/(kg·m^–3) 液体黏度μ_l/(Pa·s) 气体密度ρ_g/(kg·m^–3) 气体黏度μ_g/(Pa·s)

20 0.072 998 1.071 × 10^–3 1.19 1.8 × 10^–5

下载: 导出CSV

表 2 物性参数变化分别与真实弹跳速度和真实接触时间的关联度

Table 2. Relational degree of the change of physical parameters to the real jumping velocity and the real contact time, respectively, at droplet departure time.

参考序列/比较序列黏度μ_l 密度ρ_l

关联度r_{0i, velocity} (弹跳速度) 0.758 0.684
关联度r_{0i, time} (接触时间) 0.741 0.771

下载: 导出CSV

map

[1]	Boreyko J B, Chen C H 2009 Phys. Rev. Lett. 103 184501 Google Scholar
[2]	Chen X, Wu J, Ma R, Hua M, Koratkar N, Yao S, Wang Z 2011 Adv. Funct. Mater. 21 4617 Google Scholar
[3]	Miljkovic N, Enright R, Nam Y, Lopez K, Dou N, Sack J, Wang E N 2013 Nano Lett. 13 179 Google Scholar
[4]	He M, Ding Y, Chen J, Song Y 2016 ACS Nano 10 9456 Google Scholar
[5]	Han T, Kwak H J, Kim J H, Kwon J T, Kim M H 2019 Langmuir 35 9093 Google Scholar
[6]	Hou Y, Yu M, Chen X, Wang Z, Yao S 2015 ACS Nano 9 71 Google Scholar
[7]	Zhu J, Luo Y, Tian J, Li J, Gao X 2015 ACS Appl. Mater. Interfaces 7 10660 Google Scholar
[8]	Zhao Y, Luo Y, Zhu J, Li J, Gao X 2015 ACS Appl. Mater. Interfaces 7 11719 Google Scholar
[9]	Watson G S, Gellender M, Watson J A 2014 Biofouling 30 427 Google Scholar
[10]	Wisdom K M, Watson J A, Qu X, Liu F, Watson G S, Chen C H 2013 Proc. Natl. Acad. Sci. U. S. A. 110 7992 Google Scholar
[11]	Chavez R L, Liu F, Feng J J, Chen C H 2016 Appl. Phys. Lett. 109 011601 Google Scholar
[12]	Boreyko J B, Collier C P 2013 ACS Nano 7 1618 Google Scholar
[13]	Wiedenheft K F, Guo H A, Qu X, Boreyko J B, Liu F, Zhang K, Eid F, Choudhury A, Li Z, Chen C H 2017 Appl. Phys. Lett. 110 141601 Google Scholar
[14]	Liu F, Ghigliotti G, Feng J J, Chen C H 2014 J. Fluid Mech. 752 39 Google Scholar
[15]	Liu F, Ghigliotti G, Feng J J, Chen C H 2014 J. Fluid Mech. 752 22 Google Scholar
[16]	Farokhirad S, Morris J F, Lee T 2015 Phys. Fluids 27 102102 Google Scholar
[17]	Farokhirad S, Lee T 2017 Int. J. Multiphase Flow 95 220 Google Scholar
[18]	Shi Y, Tang G H, Xia H H 2015 Int. J. Heat Mass Transfer 88 445 Google Scholar
[19]	Wang K, Li R, Liang Q, Jiang R, Zheng Y, Lan Z, Ma X 2017 Appl. Phys. Lett. 111 061603 Google Scholar
[20]	Wang Y, Ming P 2018 AIP Adv. 8 065320 Google Scholar
[21]	Wang Y, Ming P 2019 Phys. Fluids 31 122108 Google Scholar
[22]	Wasserfall J, Figueiredo P, Kneer R, Rohlfs W, Pischke P 2017 Phys. Rev. Fluids 2 123601 Google Scholar
[23]	Khatir Z, Kubiak K Z, Jimack P K, Mathia T G 2016 Appl. Therm. Eng. 106 1337 Google Scholar
[24]	Chu F, Yuan Z, Zhang X, Wu X 2018 Int. J. Heat Mass Transfer 121 315 Google Scholar
[25]	Attarzadeh R, Dolatabadi A 2017 Phys. Fluids 29 012104 Google Scholar
[26]	Liang Z, Keblinski P 2015 Appl. Phys. Lett. 107 143105 Google Scholar
[27]	Gao S, Liao Q, Liu W, Liu Z 2018 J. Phys. Chem. Lett. 9 13 Google Scholar
[28]	Wang Y, Ming P 2021 J. Appl. Phys. 129 014702 Google Scholar
[29]	刘天庆, 孙玮, 李香琴, 孙相彧, 艾宏儒 2014 63 086801 Google Scholar Liu T Q, Sun W, Li X Q, Sun X Y, Ai H R 2014 Acta Phys. Sin. 63 086801 Google Scholar
[30]	Mouterde T, Nguyen T V, Takahashi H, Clanet C, Shimoyama I, Quéré D 2017 Phys. Rev. Fluids 2 112001 Google Scholar
[31]	王晨阳, 段倩倩, 周凯, 姚静, 苏敏, 傅意超, 纪俊羊, 洪鑫, 刘雪芹, 汪志勇 2020 69 100701 Google Scholar Wang C Y, Duan Q Q, Zhou K, Yao J, Su M, Fu Y C, Ji J Y, Hong X, Liu X Q, Wang Z Y 2020 Acta Phys. Sin. 69 100701 Google Scholar

[1]	李逢超, 付宇, 李超, 杨建刚, 胡春波. 铝液滴撞击曲面的流动特性分析. , 2022, 71(18): 184701. doi: 10.7498/aps.71.20220442
[2]	刘小娟, 李占琪, 金志刚, 黄智, 魏加争, 赵存陆, 王战涛. 电驱动引发液滴弹跳过程中的能量转换. , 2022, 71(11): 114702. doi: 10.7498/aps.71.20212133
[3]	春江, 王瑾萱, 徐晨, 温荣福, 兰忠, 马学虎. 液滴撞击超亲水表面的最大铺展直径预测模型. , 2021, 70(10): 106801. doi: 10.7498/aps.70.20201918
[4]	叶欣, 单彦广. 疏水表面振动液滴模态演化与流场结构的数值模拟. , 2021, 70(14): 144701. doi: 10.7498/aps.70.20210161
[5]	王凯宇, 庞祥龙, 李晓光. 超疏水表面液滴的振动特性及其与液滴体积的关系. , 2021, 70(7): 076801. doi: 10.7498/aps.70.20201771
[6]	许少锋, 楼应侯, 吴尧锋, 王向垟, 何平. 微通道疏水表面滑移的耗散粒子动力学研究. , 2019, 68(10): 104701. doi: 10.7498/aps.68.20182002
[7]	胡梦丹, 张庆宇, 孙东科, 朱鸣芳. 纳米结构超疏水表面冷凝现象的三维格子玻尔兹曼方法模拟. , 2019, 68(3): 030501. doi: 10.7498/aps.68.20181665
[8]	郑志伟, 李大树, 仇性启, 崔运静. 中空液滴碰撞水平壁面数值分析. , 2017, 66(1): 014704. doi: 10.7498/aps.66.014704
[9]	焦云龙, 刘小君, 逄明华, 刘焜. 固体表面液滴铺展与润湿接触线的移动分析. , 2016, 65(1): 016801. doi: 10.7498/aps.65.016801
[10]	胡海豹, 王德政, 鲍路瑶, 文俊, 张招柱. 基于润湿阶跃的水下大尺度气膜封存方法. , 2016, 65(13): 134701. doi: 10.7498/aps.65.134701
[11]	张娅, 潘光, 黄桥高. 疏水表面减阻的格子Boltzmann方法数值模拟. , 2015, 64(18): 184702. doi: 10.7498/aps.64.184702
[12]	白玲, 李大鸣, 李彦卿, 王志超, 李杨杨. 基于范德瓦尔斯表面张力模式液滴撞击疏水壁面过程的研究. , 2015, 64(11): 114701. doi: 10.7498/aps.64.114701
[13]	林林, 袁儒强, 张欣欣, 王晓东. 液滴在梯度微结构表面上的铺展动力学分析. , 2015, 64(15): 154705. doi: 10.7498/aps.64.154705
[14]	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. , 2014, 63(5): 054701. doi: 10.7498/aps.63.054701
[15]	刘天庆, 孙玮, 李香琴, 孙相彧, 艾宏儒. 纳米结构表面上部分润湿液滴合并诱导弹跳的理论研究. , 2014, 63(8): 086801. doi: 10.7498/aps.63.086801
[16]	周建臣, 耿兴国, 林可君, 张永建, 臧渡洋. 微液滴在超疏水表面的受迫振动及其接触线的固着-移动转变. , 2014, 63(21): 216801. doi: 10.7498/aps.63.216801
[17]	梁刚涛, 郭亚丽, 沈胜强. 液滴低速撞击润湿球面现象观测分析. , 2013, 62(18): 184703. doi: 10.7498/aps.62.184703
[18]	宋保维, 郭云鹤, 罗荘竹, 徐向辉, 王鹰. 疏水表面减阻环带实验研究. , 2013, 62(15): 154701. doi: 10.7498/aps.62.154701
[19]	兰忠, 朱霞, 彭本利, 林勐, 马学虎. 滴状冷凝过程液滴自由表面温度场分析. , 2012, 61(15): 150508. doi: 10.7498/aps.61.150508
[20]	余　雷, 余建祖, 王永坤. SiNx薄膜热物性参数实验测量与分析研究. , 2004, 53(2): 401-405. doi: 10.7498/aps.53.401

计量

文章访问数: 5317
PDF下载量: 123
被引次数: 0

姓名
邮箱
手机号码
标题
留言内容
验证码

搜索

留言板

物性参数对液滴的聚并自弹跳的影响及其关联分析