Optimizing Metal‐Surface Water Disinfection: CFD Study on Microorganism Collision Against a Triply Periodic Minimal Surface
Abstract: This research presents a point‐of‐use (POU) water treatment technology utilizing metal/metallic surfaces based on Triply Periodic Minimal Surface (TPMS) structured filtration infills. Computational Fluid Dynamics modeling using Ansys CFX software is employed to analyze the behavior of Escherichia coli bacteria within a continuous liquid phase moving through the filtration infill, assess particle collision dynamics, and evaluate the efficiency of filtration, considering pressure drop as a fundamental factor in process energy consumption. TPMS infill meshes are coded in a Schwarz P shape using Python, and the Darcy‐Forchheimer equation is employed to determine the permeability and resistance loss coefficient of the infill geometry. The results indicate that the TPMS infill efficiently captures particles while introducing a negligible pressure drop into the system. It is found that a single 40 mm infill configuration is the most efficient, exhibiting a higher collision rate compared to the smaller 20 mm infill configuration and a lower pressure drop compared to the two 20 mm infill configurations in the series. Additionally, this study provides insights into the behavior of continuous fluid flow through TPMS infill in view of scaled‐up implementation, including the presence of recirculation zones that can be exploited to further enhance the collision rate of particles.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Optimizing Metal‐Surface Water Disinfection: CFD Study on Microorganism Collision Against a Triply Periodic Minimal Surface ; day:22 ; month:03 ; year:2024 ; extent:12
Advanced sustainable systems ; (22.03.2024) (gesamt 12)
- Urheber
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Melo, Leonardo G. T. C.
de Menezes, Frederico Duarte
da Costa, José Angelo Peixoto
Alves, João Vitor Pereira
Chiang, Yi Wai
Santos, Rafael M.
- DOI
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10.1002/adsu.202300663
- URN
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urn:nbn:de:101:1-2024032213345151435636
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:49 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Melo, Leonardo G. T. C.
- de Menezes, Frederico Duarte
- da Costa, José Angelo Peixoto
- Alves, João Vitor Pereira
- Chiang, Yi Wai
- Santos, Rafael M.
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