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Optimizing microstructure on surface of patterned membrane by smart algorithm and computational fluid dynamics
Yang, Jixiang1,2; Ma, Yilei1,2; Ma, Cong3
2024-05-01
摘要Patterned membranes show excellent antifouling capacity compared to a similar membrane without patterns under the same conditions. However, the size of a pattern must be optimized for optimum membrane performance, which is typically achieved through laborious and time-consuming experimental work. We developed an efficient approach for optimizing the size of a pattern. The approach integrated the Nelder-Mead simplex, which is a smart algorithm, and computational fluid dynamics (CFD). CFD was used to calculate the shear stress on the membrane surface. Two independent target functions were created to determine the optimal pattern size. Moreover, the Nelder-Mead simplex method was applied to maximize the target functions. By iteratively applying CFD and the smart algorithm, the two target functions were maximized independently, indicating that two optimized patterned membranes were obtained. Furthermore, the two optimized membranes were close to each other, indicating the robustness of the optimization method. Theoretical and experimental results confirmed that the optimized patterned membrane outperformed the original membrane. This study demonstrated the feasibility of applying an approach that integrates CFD and the smart algorithm, to explore an optimal patterned membrane. This approach proved to be more efficient than one solely based on experimental work.
关键词CFD Membrane fouling Microparticle Ultrafiltration Microstructure
DOI10.1016/j.jwpe.2024.105264
发表期刊JOURNAL OF WATER PROCESS ENGINEERING
ISSN2214-7144
卷号61页码:8
通讯作者Yang, Jixiang(jixiang.yang@cigit.ac.cn)
收录类别SCI
WOS记录号WOS:001231450400001
语种英语