Performance analysis of three-dimensional passive micromixers using k-means priority clustering with AHP-based sustainable design optimization

This novel study presents an in-depth mathematical analysis, investigation, and comparative peculiar assessment of mixing behaviors across different microchannel configurations: the Simple T-shape, Spiral T-shape, and Three-Dimensional Serpentine Passive Micromixer (TDSPM). Considering the pivotal role of micromixing in various applications, the research thoroughly employs the Navier-Stokes equations to analyze flow dynamics and measure the mixing performance of water and water-dye mixtures. The TDSPM, with its distinctive rectangular inlet duct and U-shaped repeating structures, optimizes fluid interaction by constricting flow pathways. The study highlights the superior performance of the TDSPM and thoroughly evaluates the mixing indices for all three micromixer types at Reynolds numbers ranging from 5 to 250. From the priority analysis, Reynolds number (38.49%) and velocity (38.69%) are the most influential factors in micromixer performance, followed by mixing path length (15.35%) and channel width (6.87%). Test 18 (Re = 200, Mixing Path = 25 mm, Velocity = 4.2 m/s, Channel Width = 5 mm) achieves 98% mixing efficiency with a 500 Pa pressure drop, optimizing performance with lower energy costs. Finally, this design leads to remarkable improvements in mixing efficiency over a broad spectrum of Reynolds numbers.

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Publication Details

Journal
Scientific Reports
Published
2025-05-25
DOI
https://doi.org/10.1038/s41598-025-03183-5
Citations
6
Primary Topic
Microfluidic and Capillary Electrophoresis Applications
Type
article
Field-Weighted Citation Impact
4.04
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article

Performance analysis of three-dimensional passive micromixers using k-means priority clustering with AHP-based sustainable design optimization

Syed Farhan Javed, M. Javed Idrisi, Zeinebou Yahya, Worku Tenna et al.
6 citations
Scientific Reports
Microfluidic and Capillary Electrophoresis Applications
4.04
article

Performance analysis of three-dimensional passive micromixers using k-means priority clustering with AHP-based sustainable design optimization

Syed Farhan Javed, M. Javed Idrisi, Zeinebou Yahya, Worku Tenna, M.M.K. Khan
article en
6 citations

Abstract

This novel study presents an in-depth mathematical analysis, investigation, and comparative peculiar assessment of mixing behaviors across different microchannel configurations: the Simple T-shape, Spiral T-shape, and Three-Dimensional Serpentine Passive Micromixer (TDSPM). Considering the pivotal role of micromixing in various applications, the research thoroughly employs the Navier-Stokes equations to analyze flow dynamics and measure the mixing performance of water and water-dye mixtures. The TDSPM, with its distinctive rectangular inlet duct and U-shaped repeating structures, optimizes fluid interaction by constricting flow pathways. The study highlights the superior performance of the TDSPM and thoroughly evaluates the mixing indices for all three micromixer types at Reynolds numbers ranging from 5 to 250. From the priority analysis, Reynolds number (38.49%) and velocity (38.69%) are the most influential factors in micromixer performance, followed by mixing path length (15.35%) and channel width (6.87%). Test 18 (Re = 200, Mixing Path = 25 mm, Velocity = 4.2 m/s, Channel Width = 5 mm) achieves 98% mixing efficiency with a 500 Pa pressure drop, optimizing performance with lower energy costs. Finally, this design leads to remarkable improvements in mixing efficiency over a broad spectrum of Reynolds numbers.

Scientific ReportsVol. 15(1)
Qassim University (SA), Mizan Tepi University (ET), Manav Rachna International Institute of Research and Studies (IN), Jamia Millia Islamia (IN)
Openalex Percentile: Top 6%
Microfluidic and Capillary Electrophoresis Applications
4.04
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Performance analysis of three-dimensional passive micromixers using k-means priority clustering with AHP-based sustainable design optimization — Syed Farhan Javed, M. Javed Idrisi, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS