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Dynamic Modeling and Flow Distribution of Complex Micron Scale Pipe Network

A fluid simulation calculation method of the microfluidic network is proposed as a means to achieve the flow distribution of the microfluidic network. This paper quantitatively analyzes the influence of flow distribution in microfluidic devices impacted by pressure variation in the pressure source a...

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Detalles Bibliográficos
Autores principales: Zhao, Yao, Zhang, Kai, Guo, Fengbei, Yang, Mingyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8305982/
https://www.ncbi.nlm.nih.gov/pubmed/34203499
http://dx.doi.org/10.3390/mi12070763
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author Zhao, Yao
Zhang, Kai
Guo, Fengbei
Yang, Mingyue
author_facet Zhao, Yao
Zhang, Kai
Guo, Fengbei
Yang, Mingyue
author_sort Zhao, Yao
collection PubMed
description A fluid simulation calculation method of the microfluidic network is proposed as a means to achieve the flow distribution of the microfluidic network. This paper quantitatively analyzes the influence of flow distribution in microfluidic devices impacted by pressure variation in the pressure source and channel length. The flow distribution in microfluidic devices with three types of channel lengths under three different pressure conditions is studied and shows that the results obtained by the simulation calculation method on the basis of the fluid network are close to those given by the calculation method of the conventional electrical method. The simulation calculation method on the basis of the fluid network studied in this paper has computational reliability and can respond to the influence of microfluidic network length changes to the fluid system, which plays an active role in Lab-on-a-chip design and microchannel flow prediction.
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spelling pubmed-83059822021-07-25 Dynamic Modeling and Flow Distribution of Complex Micron Scale Pipe Network Zhao, Yao Zhang, Kai Guo, Fengbei Yang, Mingyue Micromachines (Basel) Article A fluid simulation calculation method of the microfluidic network is proposed as a means to achieve the flow distribution of the microfluidic network. This paper quantitatively analyzes the influence of flow distribution in microfluidic devices impacted by pressure variation in the pressure source and channel length. The flow distribution in microfluidic devices with three types of channel lengths under three different pressure conditions is studied and shows that the results obtained by the simulation calculation method on the basis of the fluid network are close to those given by the calculation method of the conventional electrical method. The simulation calculation method on the basis of the fluid network studied in this paper has computational reliability and can respond to the influence of microfluidic network length changes to the fluid system, which plays an active role in Lab-on-a-chip design and microchannel flow prediction. MDPI 2021-06-28 /pmc/articles/PMC8305982/ /pubmed/34203499 http://dx.doi.org/10.3390/mi12070763 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhao, Yao
Zhang, Kai
Guo, Fengbei
Yang, Mingyue
Dynamic Modeling and Flow Distribution of Complex Micron Scale Pipe Network
title Dynamic Modeling and Flow Distribution of Complex Micron Scale Pipe Network
title_full Dynamic Modeling and Flow Distribution of Complex Micron Scale Pipe Network
title_fullStr Dynamic Modeling and Flow Distribution of Complex Micron Scale Pipe Network
title_full_unstemmed Dynamic Modeling and Flow Distribution of Complex Micron Scale Pipe Network
title_short Dynamic Modeling and Flow Distribution of Complex Micron Scale Pipe Network
title_sort dynamic modeling and flow distribution of complex micron scale pipe network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8305982/
https://www.ncbi.nlm.nih.gov/pubmed/34203499
http://dx.doi.org/10.3390/mi12070763
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