Meng-Dan Hu, Qing-Yu Zhang, Dong-Ke Sun, Ming-Fang Zhu. Three-dimensional lattice Boltzmann modeling of droplet condensation on superhydrophobic nanostructured surfaces [J]. Acta Physica Sinica, 2019, 68(3): 030501-1
- Acta Physica Sinica
- Vol. 68, Issue 3, 030501-1 (2019)
![Schematic sketch of LBM discrete velocities in the D3Q19 scheme[27].D3Q19 LBM模型离散速度示意图[27]](/Images/highlights-null.jpg)
Fig. 2. Simulated pressure difference between inside and outside of a spherical droplet as a function of droplet curvature (symbols, simulated data; lines, linear fitting).模拟的液滴内外压力差与液滴曲率的关系(符号, 模拟值; 直线, 线性拟合)
Fig. 3. Simulated intrinsic contact angle as a function of the fluid-solid interaction strength at G c = −6.5.
取G c = −6.5时模拟的液滴本征接触角随流-固作用系数的变化
Fig. 4. Schematic of the three-dimensional domain for the simulation of droplet condensation.液滴冷凝的三维模拟区域示意图
Fig. 5. Simulated evolution of droplet nucleation, growth, and coalescence for the droplets that nucleate simultaneously in the upside space and the bottom corners between the posts of nanoarrays.模拟的液滴在纳米阵列上部侧面和底部同时形核、生长及合并演化过程
Fig. 6. Comparison of LBM simulation and experiment[17] regarding the evolution of droplet nucleation, growth, and coalescence for the droplets that nucleate in the upside space between the posts of nanoarrays.
液滴在纳米阵列上部侧面形核、生长及合并演化过程的LBM模拟结果和实验结果[17]对比
Fig. 7. Statistical average force of the condensate liquid in the upside space between the posts of nanoarrays in Fig. 6 during wetting state transition as a function of time.
对应于图6 中间隙上部的液相在润湿状态转变阶段所受的统计平均作用力随时间的变化
Fig. 8. Comparison of LBM simulation and experiment[30] regarding the evolution of droplet nucleation, growth, and coalescence for the droplets that nucleate in the bottom corners between the posts of nanoarrays.
液滴在纳米阵列底部形核、生长及合并演化过程的LBM模拟结果和实验结果[30]对比
Fig. 9. Simulated evolution of droplet nucleation, growth, and coalescence on the nanoarrays non-uniformly patterned with hydrophilic and hydrophobic regions on the top of nanoarrays.模拟的液滴在具有不均匀润湿性的纳米阵列顶端形核、生长及合并演化过程
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Table 1.
Comparison of intrinsic contact angles between the targeted data and the simulated results (
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