Mathematical Modeling of Transport Phenomena in Electroosmotic Fluid Flow for Heat and Mass Transfer of Microplastics in a Renewable Energy-Powered Filtration System

The increasing presence of microplastics in aquatic environments poses significant ecological and health risks. This study presents a mathematical model for the transport phenomena in electroosmotic fluid flow designed for heat and mass transfer of microplastics in a renewable energy-powered filtration system. The model incorporates the coupled effects of electrokinetics, fluid dynamics, and thermal gradients to predict the behavior of microplastic particles in a microchannel filtration system. The governing equations are derived from the Navier-Stokes equations, Poisson-Boltzmann equation, and energy balance equations, considering the Joule heating effect due to the applied electric field. A higher-order perturbation method is employed to obtain approximate analytical solutions for the velocity, temperature, and concentration profiles. Parametric analysis is conducted to investigate the impact of key dimensionless parameters on the system's performance. The results provide insight into the efficiency of microplastic separation under varying electric field intensities, fluid properties, and temperature gradients, contributing to the optimization of renewable energy-powered filtration technologies.

Authors

Publication Details

Journal
International Journal of Advanced Multidisciplinary Research and Studies
Published
2025-03-17
DOI
https://doi.org/10.62225/2583049x.2025.5.2.3890
Citations
1
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.82
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article

Mathematical Modeling of Transport Phenomena in Electroosmotic Fluid Flow for Heat and Mass Transfer of Microplastics in a Renewable Energy-Powered Filtration System

Ehiaze Augustine Ehimen, Raphael Ehikhuemhen Asibor, Vincent Airuoyuwa Amenaghawon, Lilian Omoazagba Obetoh et al.
1 citations
International Journal of Advanced Multidisciplinary Research and Studies
Water Quality Monitoring Technologies
0.82
article

Mathematical Modeling of Transport Phenomena in Electroosmotic Fluid Flow for Heat and Mass Transfer of Microplastics in a Renewable Energy-Powered Filtration System

Ehiaze Augustine Ehimen, Raphael Ehikhuemhen Asibor, Vincent Airuoyuwa Amenaghawon, Lilian Omoazagba Obetoh, Moneyman Osuobeni Ekoi, Lucky Joseph Ogbogbo
article en
1 citations

Abstract

The increasing presence of microplastics in aquatic environments poses significant ecological and health risks. This study presents a mathematical model for the transport phenomena in electroosmotic fluid flow designed for heat and mass transfer of microplastics in a renewable energy-powered filtration system. The model incorporates the coupled effects of electrokinetics, fluid dynamics, and thermal gradients to predict the behavior of microplastic particles in a microchannel filtration system. The governing equations are derived from the Navier-Stokes equations, Poisson-Boltzmann equation, and energy balance equations, considering the Joule heating effect due to the applied electric field. A higher-order perturbation method is employed to obtain approximate analytical solutions for the velocity, temperature, and concentration profiles. Parametric analysis is conducted to investigate the impact of key dimensionless parameters on the system's performance. The results provide insight into the efficiency of microplastic separation under varying electric field intensities, fluid properties, and temperature gradients, contributing to the optimization of renewable energy-powered filtration technologies.

International Journal of Advanced Multidisciplinary Research and StudiesVol. 5(2)
Openalex Percentile: Top 28%
Water Quality Monitoring Technologies
0.82
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Mathematical Modeling of Transport Phenomena in Electroosmotic Fluid Flow for Heat and Mass Transfer of Microplastics in a Renewable Energy-Powered Filtration System — Ehiaze Augustine Ehimen, Raphael Ehikhuemhen Asibor, et al. · International Journal of Advanced Multidisciplinary Research and Studies (2025) | TGRS Research Map | TGRS