TY - JOUR
T1 - The molecular dynamics study of evaporation characteristics of n-butanol-water solution on rough substrate surfaces
AU - Wu, Tingting
AU - Xie, Yuanyuan
AU - Li, Zhouhong
AU - Hu, Yanxin
AU - Liu, Liangde
AU - Song, Mengjie
AU - Chen, Jie
AU - Cai, Shuting
N1 - Publisher Copyright:
© 2025 Elsevier Ltd
PY - 2025/12/1
Y1 - 2025/12/1
N2 - The evaporation behavior of self-rewetting fluids on microstructured surfaces holds critical significance for microfluidic chips and high-efficiency thermal management technologies. However, the synergistic mechanisms between substrate topography and fluid composition remain inadequately elucidated in existing studies. This investigation systematically explores the evaporation dynamics of n-butanol-water droplets on pillar-patterned rough substrates with varying geometries through molecular dynamics simulations. To decipher the influence of morphological parameters, we constructed four substrate types with distinct aspect ratios (h/l = 0.25, 0.5, 0.75, 1.0. For the optimal aspect ratio, three characteristic dimension groups were comparatively modeled (h = a, l = 2a; h = 2a, l = 4a; h = 3a, l = 6a). The evaporation mechanisms and molecular kinetics were analyzed through quantitative evaluation of vaporized molecule counts, intermolecular interaction forces, and n-butanol molecular trajectories. The results show that when the h/l of the rough substrate is 0.5, the evaporation number of the droplet is the highest, and the number of evaporated molecules increases by 12.77 %, 24.66 %, and 22.08 % compared to h/l = 0.25, 0.75 and 1. This optimized geometry promoted superior uniformity in the trajectories of n-butanol molecules. Further dimensional optimization under h/l = 0.5 revealed that the h = 2a, l = 4a configuration achieved 39.48 % and 43.46 % higher evaporation rates compared to h = a, l = 2a and h = 3a, l = 6a systems. Molecular trajectory analysis shows that the movement of n-butanol molecules is less constrained under the specific size micropillar structure, which corresponds to the other observed.
AB - The evaporation behavior of self-rewetting fluids on microstructured surfaces holds critical significance for microfluidic chips and high-efficiency thermal management technologies. However, the synergistic mechanisms between substrate topography and fluid composition remain inadequately elucidated in existing studies. This investigation systematically explores the evaporation dynamics of n-butanol-water droplets on pillar-patterned rough substrates with varying geometries through molecular dynamics simulations. To decipher the influence of morphological parameters, we constructed four substrate types with distinct aspect ratios (h/l = 0.25, 0.5, 0.75, 1.0. For the optimal aspect ratio, three characteristic dimension groups were comparatively modeled (h = a, l = 2a; h = 2a, l = 4a; h = 3a, l = 6a). The evaporation mechanisms and molecular kinetics were analyzed through quantitative evaluation of vaporized molecule counts, intermolecular interaction forces, and n-butanol molecular trajectories. The results show that when the h/l of the rough substrate is 0.5, the evaporation number of the droplet is the highest, and the number of evaporated molecules increases by 12.77 %, 24.66 %, and 22.08 % compared to h/l = 0.25, 0.75 and 1. This optimized geometry promoted superior uniformity in the trajectories of n-butanol molecules. Further dimensional optimization under h/l = 0.5 revealed that the h = 2a, l = 4a configuration achieved 39.48 % and 43.46 % higher evaporation rates compared to h = a, l = 2a and h = 3a, l = 6a systems. Molecular trajectory analysis shows that the movement of n-butanol molecules is less constrained under the specific size micropillar structure, which corresponds to the other observed.
KW - Evaporation performance
KW - MD simulation
KW - Molecular kinetic behavior
KW - N-butanol-water solution
KW - Rough substrate
UR - https://www.scopus.com/pages/publications/105010153497
U2 - 10.1016/j.ces.2025.122195
DO - 10.1016/j.ces.2025.122195
M3 - Article
AN - SCOPUS:105010153497
SN - 0009-2509
VL - 318
JO - Chemical Engineering Science
JF - Chemical Engineering Science
M1 - 122195
ER -