TY - JOUR
T1 - Mechanism of surface nanostructure changing wettability
T2 - A molecular dynamics simulation
AU - Chen, Lei
AU - Wang, Shan You
AU - Xiang, Xing
AU - Tao, Wen Quan
N1 - Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2020/1
Y1 - 2020/1
N2 - Molecular dynamics simulation is performed to simulate the wetting behavior of nano water droplets on flat and pillar surfaces. The result shows that the contact angle of the water droplet on the flat surface becomes smaller with the increase of the surface characteristic energy parameter ε. At the same energy parameter ε, the hydrophobicity is enhanced on the pillar surface compared to the flat surface. For nanostructured surfaces with different geometrical features, the sparser the surface pillars, the larger the contact angle. What's more, we propose an equivalent potential well method, which can effectively reveal the mechanism of nanostructures changing surface wettability. The deeper the equivalent potential well, the smaller the contact angle.
AB - Molecular dynamics simulation is performed to simulate the wetting behavior of nano water droplets on flat and pillar surfaces. The result shows that the contact angle of the water droplet on the flat surface becomes smaller with the increase of the surface characteristic energy parameter ε. At the same energy parameter ε, the hydrophobicity is enhanced on the pillar surface compared to the flat surface. For nanostructured surfaces with different geometrical features, the sparser the surface pillars, the larger the contact angle. What's more, we propose an equivalent potential well method, which can effectively reveal the mechanism of nanostructures changing surface wettability. The deeper the equivalent potential well, the smaller the contact angle.
KW - Cassie
KW - Equivalent virtual surface
KW - Molecular dynamics simulation
KW - Nanostructured surface
KW - Wenzel
UR - https://www.scopus.com/pages/publications/85071664534
U2 - 10.1016/j.commatsci.2019.109223
DO - 10.1016/j.commatsci.2019.109223
M3 - 文章
AN - SCOPUS:85071664534
SN - 0927-0256
VL - 171
JO - Computational Materials Science
JF - Computational Materials Science
M1 - 109223
ER -