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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

International Journal of Advanced Multidisciplinary Research and Studies 2025 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 53 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Raphael Ehikhuemhen Asibor, Vincent Airuoyuwa Amenaghawon, Lilian Omoazagba Obetoh, Moneyman Osuobeni Ekoi, Lucky Joseph Ogbogbo, Ehiaze Augustine Ehimen

Summary

Researchers developed a mathematical model for the transport of microplastic particles in an electroosmotic filtration system powered by renewable energy. The model incorporates fluid dynamics, electrokinetics, and thermal gradients to predict microplastic behavior in microchannel filtration. The study provides insights into optimizing microplastic separation efficiency under varying electric field intensities and temperature conditions.

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.

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