Identifying the colloidal fouling behavior on the sharkskin-mimetic surface: In-situ monitoring and lattice Boltzmann simulation
- Authors
- Yoo, Cheol Hun; Lee, Gi Wook; Choi, Wansuk; Shin, Min Gyu; Lee, Changhoon; Shin, Jeong Han; Son, Yong; Chun, Byoungjin; Lee, Jung-Hyun; Jung, Hyun Wook; Lee, Jong Suk
- Issue Date
- 1-2월-2021
- Publisher
- ELSEVIER SCIENCE SA
- Keywords
- Colloidal fouling; Pattern spacing; Sharkskin-mimetic; Sharklet; Lattice Boltzmann simulation
- Citation
- CHEMICAL ENGINEERING JOURNAL, v.405
- Indexed
- SCIE
SCOPUS
- Journal Title
- CHEMICAL ENGINEERING JOURNAL
- Volume
- 405
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/129235
- DOI
- 10.1016/j.cej.2020.126617
- ISSN
- 1385-8947
- Abstract
- Sharkskin-mimetic (Sharklet) patterning has proven effective to enhance the fouling resistance of the surface. Herein, we systematically investigated the colloidal fouling behavior on the Sharklet-patterned polyurethane (PUA) surfaces with different pattern spacings (1.5, 2 and 6 mu m) by performing both in-situ monitoring and lattice Boltzmann (LB) simulations. Our careful in-situ monitoring of the movement of polystyrene model foulant particles (0.9 mu m diameter) revealed that varying the pattern spacing differentiated both the degree and local distribution of colloidal fouling on the Sharklet-patterned surface. Specifically, the 2 mu m-spaced pattern exhibited the least fouling among three different spacing patterns. Furthermore, fouling was predominant in the periphery of each pattern unit for the 1.5 mu m-spaced pattern, while it was most severe in the region between the neighboring protrusions for the 6 mu m-spaced patterns. Interestingly, the LB simulation enabled the qualitative tracking of individual foulants on the Sharklet-patterned surface, which was consistent with the experimental observations. It suggested that the distribution of the deposited foulants is strongly related to the magnitude and direction of the local hydrodynamic force exerted on the foulants. Our proposed synergistic approach provides a new platform for the evaluation of the fouling behavior on patterned surfaces.
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