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Title: Three-dimensional lattice Boltzmann simulations of microdroplets including contact angle hysteresis on topologically structured surfaces

In this study, the dynamical behavior of a droplet on topologically structured surface is investigated by using a three-dimensional color-gradient lattice Boltzmann model. A wetting boundary condition is proposed to model fluid-surface interactions, which is advantageous to improve the accuracy of the simulation and suppress spurious velocities at the contact line. The model is validated by the droplet partial wetting test and reproduction of the Cassie and Wenzel states. A series of simulations are conducted to investigate the behavior of a droplet when subjected to a shear flow. It is found that in Cassie state, the droplet undergoes a transition from stationary, to slipping and finally to detachment states as the capillary number increases, while in Wenzel state, the last state changes to the breakup state. The critical capillary number, above which the droplet slipping occurs, is small for the Cassie droplet, but is significantly enhanced for the Wenzel droplet due to the increased contact angle hysteresis. In Cassie state, the receding contact angle nearly equals the prediction by the Cassie relation, and the advancing contact angle is close to 180°, leading to a small contact angle hysteresis. In Wenzel state, however, the contact angle hysteresis is extremely large (aroundmore » 100°). Finally, high droplet mobility can be easily achieved for Cassie droplets, whereas in Wenzel state, extremely low droplet mobility is identified.« less
Authors:
 [1] ;  [2] ;  [3] ;  [4] ;  [3]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Xi'an Jiaotong Univ. (China)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  3. Xi'an Jiaotong Univ. (China)
  4. Xi'an Jiaotong Univ. (China); Collaborative Innovation Center for Advance Aero-Engine (CICAAE), Beijing (China)
Publication Date:
Report Number(s):
LA-UR-17-27886
Journal ID: ISSN 1877-7503; TRN: US1800994
Grant/Contract Number:
AC52-06NA25396
Type:
Accepted Manuscript
Journal Name:
Journal of Computational Science
Additional Journal Information:
Journal Volume: 17; Journal Issue: P2; Journal ID: ISSN 1877-7503
Publisher:
Elsevier
Research Org:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Energy Sciences
OSTI Identifier:
1417161