TY - JOUR
T1 - Modeling of early stage droplet spreading based on numerical simulations
AU - Guo, Kailun
AU - Chen, Ronghua
AU - Wang, Chenglong
AU - Qiu, Suizheng
AU - Tian, Wenxi
AU - Su, Guanghui
N1 - Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/12/1
Y1 - 2020/12/1
N2 - The initial spreading dynamics of a droplet has been studied for decades, however, the mechanism of such phenomenon is still not well known and an efficient prediction model considering combined effects of each influence factor for this process is absent. In present study, numerical simulations for the early stage droplet spreading are carried out based on a modified MPS method with up-to-date viscosity model, pressure Poisson equation, pressure gradient model as well as improved boundary conditions. Influences of the contact angle, viscosity and surface tension force are individually investigated, and their effects are properly characterized by dimensionless contact angle Θ, Reynolds number Re and Bound number Bo. Results show that the droplet spreading radius can be modeled as r/R0 = β(t*)α, where α and β are functions of dimensionless numbers above. Parameters α and β of the contact radius’ power-law growth in all simulations are adopted as inputs to determine coefficients in droplet spreading correlation. The proposed correlation generates pretty close predicted results whose relative errors are less than 5% comparing with experimental values. Present research provides a picture on how the initial contact between the liquid drop and solid surface develops, and it could be a fundamental research for more complicated droplet behaviors e.g. the droplet impact and collision.
AB - The initial spreading dynamics of a droplet has been studied for decades, however, the mechanism of such phenomenon is still not well known and an efficient prediction model considering combined effects of each influence factor for this process is absent. In present study, numerical simulations for the early stage droplet spreading are carried out based on a modified MPS method with up-to-date viscosity model, pressure Poisson equation, pressure gradient model as well as improved boundary conditions. Influences of the contact angle, viscosity and surface tension force are individually investigated, and their effects are properly characterized by dimensionless contact angle Θ, Reynolds number Re and Bound number Bo. Results show that the droplet spreading radius can be modeled as r/R0 = β(t*)α, where α and β are functions of dimensionless numbers above. Parameters α and β of the contact radius’ power-law growth in all simulations are adopted as inputs to determine coefficients in droplet spreading correlation. The proposed correlation generates pretty close predicted results whose relative errors are less than 5% comparing with experimental values. Present research provides a picture on how the initial contact between the liquid drop and solid surface develops, and it could be a fundamental research for more complicated droplet behaviors e.g. the droplet impact and collision.
KW - Droplet spreading
KW - Modeling
KW - Moving particle semi-implicit (MPS) method
UR - https://www.scopus.com/pages/publications/85091228684
U2 - 10.1016/j.nucengdes.2020.110855
DO - 10.1016/j.nucengdes.2020.110855
M3 - 文章
AN - SCOPUS:85091228684
SN - 0029-5493
VL - 369
JO - Nuclear Engineering and Design
JF - Nuclear Engineering and Design
M1 - 110855
ER -