Assessment of mixing efficiency in a planar passive micromixer With t-shaped configuration

Jafar Ababneh, Mohanad A. Deif, Ahmad Solyman, Mansour Y. Ibrahim, Mohamed Hafez, Yosef M. Ashmawy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Microfluidic devices have garnered considerable interest owing to their prospective utilization in diverse domains, encompassing chemical synthesis, biological analysis, and medicinal research. Micromixers are critical in adequate fluid mixing at a microscale within the array of devices under consideration. This study aims to offer a comprehensive analysis of the efficacy of the T-shaped micromixer configuration in scenarios that necessitate accurate and expeditious mixing. This study examines the performance of a T micromixer through simulation and analysis. The findings demonstrate that T micromixers exhibit some drawbacks that result in suboptimal mixing efficiency. The attainment of a desirable level of mixing efficiency can be accomplished by utilizing splitting-recombination and chaotic advection mechanisms. The study's outcomes indicate that the T micromixer demonstrates its maximum mixing effectiveness, roughly 60% when the Reynolds number (Re) is at or below 0.5. Nevertheless, it has been observed that the T micromixer encounters a decrease in mixing effectiveness as the Reynolds number escalates within the range of 0.5 to 15.

Original languageEnglish
Title of host publication2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)
PublisherIEEE
Number of pages6
ISBN (Electronic)9798350373363
ISBN (Print)9798350373370
DOIs
Publication statusPublished - 18 Jul 2024
Event2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence - Zarqa, Jordan
Duration: 27 Dec 202328 Dec 2023
https://eiceeai.zu.edu.jo/ (Link to conference website)

Publication series

NameInternational Engineering Conference on Electrical, Energy, and Artificial Intelligence
PublisherIEEE
ISSN (Print)None

Conference

Conference2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence
Abbreviated titleEICEEAI 2023
Country/TerritoryJordan
CityZarqa
Period27/12/2328/12/23
Internet address

Keywords

  • Laminar Flow
  • Micro-Fluidic
  • Micro-Mixer
  • Mixing Efficiency
  • Reynolds Number

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Health Informatics

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