Enhancement efficiency of flow and irreversibility system for MHD Buongiorno’s nanofluid in complex peristaltic tapered channel with electroosmosis forces

Abstract Magnetohydrodynamic flow efficiency and irreversibility improvement research are multiple problems that arise when electroosmosis forces affect Buongiorno’s nanofluid in a complicated peristaltic tapered channel. Thermal energy and temperature gradients cause nanoparticles to migrate randomly, affecting flow efficiency and irreversibility. Sometimes the infected veins generate complex peristaltic waves on its walls. The mathematical model that characterizes the motion of Jeffrey magnetohydrodynamic Buongiorno’s nanofluid inside a complex tapered peristaltic channel, considering the effects of electroosmotic forces, is discussed. The long wavelength and low Reynolds numbers approximation is considered. The approximate solution of the nonlinear system of partial differential formulas is obtained using the Adomian decomposition method. Also, the irreversibility of the system and entropy generation are being studied. Flow characteristics with biophysical and thermal parameters are plotted and discussed. The improvement in the interstitial distances that make up the nanofluid in turn enhances the Bejan numbers. So, one of the important results is that when the increment of Brownian motion and thermophoresis of the nanoparticles, the Bejan numbers are raised significantly. Both the Jeffrey parameter and Debye–Huckel parameter work to upsurge the loss of kinetic energy within the molecules, which reduces the temperatures inside the nanofluid and thus reduces the entropy rate, in contrast to the rest of the parameters that raise the kinetic energy inside the molecules that make up the nanofluid.

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Publication Details

Journal
Journal of Computational Design and Engineering
Published
2024-11-05
DOI
https://doi.org/10.1093/jcde/qwae101
Citations
6
Primary Topic
Lattice Boltzmann Simulation Studies
Type
article
Field-Weighted Citation Impact
2.25
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article

Enhancement efficiency of flow and irreversibility system for MHD Buongiorno’s nanofluid in complex peristaltic tapered channel with electroosmosis forces

Essam M. Elsaid, Mohamed R. Eid, Reima Daher Alsemiry, R. E. Abo-Elkhair
6 citations
Journal of Computational Design and Engineering
Lattice Boltzmann Simulation Studies
2.25
article

Enhancement efficiency of flow and irreversibility system for MHD Buongiorno’s nanofluid in complex peristaltic tapered channel with electroosmosis forces

Essam M. Elsaid, Mohamed R. Eid, Reima Daher Alsemiry, R. E. Abo-Elkhair
article en
6 citations

Abstract

Abstract Magnetohydrodynamic flow efficiency and irreversibility improvement research are multiple problems that arise when electroosmosis forces affect Buongiorno’s nanofluid in a complicated peristaltic tapered channel. Thermal energy and temperature gradients cause nanoparticles to migrate randomly, affecting flow efficiency and irreversibility. Sometimes the infected veins generate complex peristaltic waves on its walls. The mathematical model that characterizes the motion of Jeffrey magnetohydrodynamic Buongiorno’s nanofluid inside a complex tapered peristaltic channel, considering the effects of electroosmotic forces, is discussed. The long wavelength and low Reynolds numbers approximation is considered. The approximate solution of the nonlinear system of partial differential formulas is obtained using the Adomian decomposition method. Also, the irreversibility of the system and entropy generation are being studied. Flow characteristics with biophysical and thermal parameters are plotted and discussed. The improvement in the interstitial distances that make up the nanofluid in turn enhances the Bejan numbers. So, one of the important results is that when the increment of Brownian motion and thermophoresis of the nanoparticles, the Bejan numbers are raised significantly. Both the Jeffrey parameter and Debye–Huckel parameter work to upsurge the loss of kinetic energy within the molecules, which reduces the temperatures inside the nanofluid and thus reduces the entropy rate, in contrast to the rest of the parameters that raise the kinetic energy inside the molecules that make up the nanofluid.

Journal of Computational Design and EngineeringVol. 11(6)
Northern Border University (SA), Al-Azhar University (EG), Taibah University (SA), University of Bisha (SA), October High Institute For Enginnering and Technology (EG), October 6 University (EG), University of Business and Technology (SA)
Openalex Percentile: Top 12%
Lattice Boltzmann Simulation Studies
2.25
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