Evidence map›Paper›PMID 40415070›Full record

ArticleScientific reports2025

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

Syed Farhan Javed, M Emran Khan, Zeinebou Yahya, M Javed Idrisi, Worku Tenna

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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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Syed Farhan JavedDepartment of Mechanical Engineering, Jamia Millia Islamia, New Delhi, 110025, India.
M Emran KhanDepartment of Mechanical Engineering, Jamia Millia Islamia, New Delhi, 110025, India.
Zeinebou YahyaDepartment of Physics, College of Science, Qassim University, Buraidah, Al-Qassim, 51452, Saudi Arabia.
M Javed IdrisiDepartment of Sciences, Manav Rachna University, Faridabad, 121004, Haryana, India.
Worku TennaDepartment of Mathematics, College of Natural and Computational Science, Mizan-Tepi University, Mizan-Aman, Ethiopia. workutena@mtu.edu.et.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Energy efficiencyMicrofluidicsMixing indexPassive micromixersReynolds number

Identifiers

PMID40415070
PMCPMC12104390

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