Numerical parametric optimization of fluid flow profiles in membranes using the Taguchi method.

Muhammad Arslan, Haizhen Xian, Imran Shah, Shahid Aziz, Dong-Won Jung

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Muhammad ArslanSchool of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing, 102206, China.

Haizhen XianSchool of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing, 102206, China.

Imran ShahDepartment of Mechatronics Engineering, Air University, Islamabad, 44000, Pakistan.

Shahid AzizDepartment of Mechanical Engineering, Jeju National University, 102 Jejudaehak-ro, Jeju-si, 63243, Republic of Korea.

Dong-Won JungFaculty of Applied Energy System, Major of Mechanical Engineering, Jeju National University, 102 Jejudaehak-ro, Jeju-Si, 63243, Republic of Korea. jdwcheju@jejunu.ac.kr.

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6 · The paper itself

Abstract

Membrane modeling and flow through it are important studies, and their applications are for gas and water separation. The examples of membrane modeling applications are artificial kidneys and reactors. Some studies are available on membrane modeling for different applications; however, optimization studies are rarely available. In the current study, an initial membrane model is simulated by COMSOL 6.3 and then optimized for input parameters to decide the optimal set at which the performance and flow profiles are better. For this study, the design of experiments table through Minitab software using the Taguchi method is generated. Then it tested for an optimal parametric selection. In this study, the focus is on the effect of dialysate concentration (D

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And fluid flowCOMSOL 6.3Membrane modelingOptimizationTaguchi method

Identifiers

PMID41087505

DOI10.1038/s41598-025-19792-z

PMCPMC12521374

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