Journal of System Simulation
Abstract
Abstract: The kinetic characteristics of microorganism model moving in different surfaces and flow field environments are simulated. The internal flow dynamics and the inherent mechanism of antifouling on microstructure surface are examined. The results indicate that for the static flow field, vortices are generated in the micro-pits as microorganism moves above microstructure surface. The velocity in the microstructure surface is greater than that in the smooth surface, and the strain rate and shear stress exerted on microorganism are relatively smaller resulting in the rapid passing the microstructure surface. For the dynamic flow field, the flow field presents regular fluctuations in the near-wall region. Microorganisms are affected by larger strain rate and shear stress, thus more energy is needed to support microorganisms to slow down its speed to seek suitable attachment points resulting in increasingly difficult attachment. The reverse flow field has a better antifouling effect than the co-directional flow field.
Recommended Citation
Li, Chunxi; Xue, Quanxi; Zhang, Xiangshan; and Ye, Xuemin
(2019)
"Effect of Flow Field Environment on Microstructure Surface Preventing Microorganism Attachment,"
Journal of System Simulation: Vol. 31:
Iss.
4, Article 11.
DOI: 10.16182/j.issn1004731x.joss.17-0124
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss4/11
First Page
687
Revised Date
2017-06-27
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.17-0124
Last Page
695
CLC
O35
Recommended Citation
Li Chunxi, Xue Quanxi, Zhang Xiangshan, Ye Xuemin. Effect of Flow Field Environment on Microstructure Surface Preventing Microorganism Attachment[J]. Journal of System Simulation, 2019, 31(4): 687-695.
DOI
10.16182/j.issn1004731x.joss.17-0124
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons