Numerical investigation of electroosmotic-driven cilia-induced peristaltic flow of non-Newtonian Johnson–Segalman nanofluids with gyrotactic microorganisms

Purpose This study aims to develop a comprehensive model for electroosmotically driven peristaltic transport of a non-Newtonian Johnson–Segalman fluid in a vertically oriented, ciliated microchannel with symmetric geometry. This study seeks to examine the combined influence of nanoparticle dispersion, shear-responsive microorganism motility and electroosmotic forces on fluid transport behavior relevant to advanced microfluidic systems. Design/methodology/approach A mathematical model is formulated incorporating key physical parameters, including thermophoresis, Brownian motion, electric conductivity, Helmholtz–Smoluchowski velocity, viscosity, relaxation time and thermal conductivity. The governing coupled nonlinear differential equations are solved numerically using the finite element method under appropriate boundary conditions to analyze flow characteristics, particle distribution and microorganism dynamics. Findings The results of this study reveal that stronger electroosmotic effects significantly enhance volumetric flow rates. Increased ciliary activity and higher nanoparticle concentrations reduce flow trapping and improve particle dispersion uniformity. Additionally, channel symmetry plays a crucial role in shaping streamline patterns and enhancing microorganism transport efficiency. Originality/value This study proposes a previously unexplored coupling of electroosmotic peristaltic cilia flow with non-Newtonian Johnson–Segalman fluid, incorporating nanoparticles and motile microorganisms in a symmetric configuration.

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Publication Details

Journal
International Journal of Numerical Methods for Heat &amp Fluid Flow
Published
2026-06-08
DOI
https://doi.org/10.1108/hff-03-2026-0420
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
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article

Numerical investigation of electroosmotic-driven cilia-induced peristaltic flow of non-Newtonian Johnson–Segalman nanofluids with gyrotactic microorganisms

Junaid Mehboob, R. Ellahi, Sadiq M. Sait, Noreen Sher Akbar
International Journal of Numerical Methods for Heat &amp Fluid Flow
Microfluidic and Bio-sensing Technologies
article

Numerical investigation of electroosmotic-driven cilia-induced peristaltic flow of non-Newtonian Johnson–Segalman nanofluids with gyrotactic microorganisms

Junaid Mehboob, R. Ellahi, Sadiq M. Sait, Noreen Sher Akbar
article en

Abstract

Purpose This study aims to develop a comprehensive model for electroosmotically driven peristaltic transport of a non-Newtonian Johnson–Segalman fluid in a vertically oriented, ciliated microchannel with symmetric geometry. This study seeks to examine the combined influence of nanoparticle dispersion, shear-responsive microorganism motility and electroosmotic forces on fluid transport behavior relevant to advanced microfluidic systems. Design/methodology/approach A mathematical model is formulated incorporating key physical parameters, including thermophoresis, Brownian motion, electric conductivity, Helmholtz–Smoluchowski velocity, viscosity, relaxation time and thermal conductivity. The governing coupled nonlinear differential equations are solved numerically using the finite element method under appropriate boundary conditions to analyze flow characteristics, particle distribution and microorganism dynamics. Findings The results of this study reveal that stronger electroosmotic effects significantly enhance volumetric flow rates. Increased ciliary activity and higher nanoparticle concentrations reduce flow trapping and improve particle dispersion uniformity. Additionally, channel symmetry plays a crucial role in shaping streamline patterns and enhancing microorganism transport efficiency. Originality/value This study proposes a previously unexplored coupling of electroosmotic peristaltic cilia flow with non-Newtonian Johnson–Segalman fluid, incorporating nanoparticles and motile microorganisms in a symmetric configuration.

International Journal of Numerical Methods for Heat &amp Fluid Flow
University of California, Riverside (US), International Islamic University, Islamabad (PK), King Fahd University of Petroleum and Minerals (SA), Prince Mohammad bin Fahd University (SA)
Openalex Percentile: Top 11%
Microfluidic and Bio-sensing Technologies
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Numerical investigation of electroosmotic-driven cilia-induced peristaltic flow of non-Newtonian Johnson–Segalman nanofluids with gyrotactic microorganisms — Junaid Mehboob, R. Ellahi, et al. · International Journal of Numerical Methods for Heat &amp Fluid Flow (2026) | TGRS Research Map | TGRS