Mathematical modeling and analysis for radiative MHD peristaltic flow of Bingham nanofluid

Abstract The current study elaborates the mathematical modeling for peristaltic transport of Bingham nanoliquid in symmetric channel with thermal radiation. Here we used non‐Newtonian fluid model (Bingham model) define as Channel boundaries are complaint nature. The equations for the flow and heat/mass transport, incorporating the aspects of thermophoresis and Brownian motion, were derived using Buongiorno's nanofluids framework. Thermal transport involves the existence of Ohmic heating and viscous dissipation consequences. The model's governing equations are derived, made simpler by using long wavelengths and small Reynolds number assumptions. Numerical techniques are utilized for finding the solution of nonlinear systems of equations. Velocity, concentration, temperature, and rate of heat transfer are analyzed graphically. The findings of these investigations could improve fluid dynamics and gastrointestinal movements in a variety of engineering systems. This examination also sheds light on the physiological fluids’ easy movement through the capillaries and arteries, which supports the movement of nutrients, blood circulation, oxygen delivery, waste elimination, temperature regulation, and other essential components within the human organism.

Authors

Institutions

Publication Details

Journal
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik
Published
2024-09-26
DOI
https://doi.org/10.1002/zamm.202300840
Citations
19
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
3.50

Funders

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article

Mathematical modeling and analysis for radiative MHD peristaltic flow of Bingham nanofluid

Zahid Nisar, Hamiden Abd El‐Wahed Khalifa, Arsalan Aziz, Bilal Ahmed et al.
19 citations
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik
Nanofluid Flow and Heat Transfer
3.50
article

Mathematical modeling and analysis for radiative MHD peristaltic flow of Bingham nanofluid

Zahid Nisar, Hamiden Abd El‐Wahed Khalifa, Arsalan Aziz, Bilal Ahmed, Irshad Ahmad, Khursheed Muhammad
article en
19 citations

Abstract

Abstract The current study elaborates the mathematical modeling for peristaltic transport of Bingham nanoliquid in symmetric channel with thermal radiation. Here we used non‐Newtonian fluid model (Bingham model) define as Channel boundaries are complaint nature. The equations for the flow and heat/mass transport, incorporating the aspects of thermophoresis and Brownian motion, were derived using Buongiorno's nanofluids framework. Thermal transport involves the existence of Ohmic heating and viscous dissipation consequences. The model's governing equations are derived, made simpler by using long wavelengths and small Reynolds number assumptions. Numerical techniques are utilized for finding the solution of nonlinear systems of equations. Velocity, concentration, temperature, and rate of heat transfer are analyzed graphically. The findings of these investigations could improve fluid dynamics and gastrointestinal movements in a variety of engineering systems. This examination also sheds light on the physiological fluids’ easy movement through the capillaries and arteries, which supports the movement of nutrients, blood circulation, oxygen delivery, waste elimination, temperature regulation, and other essential components within the human organism.

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und MechanikVol. 104(11)
Jiangsu University (CN), Quaid-i-Azam University (PK), Qassim University (SA), National University of Sciences and Technology (PK)
King Khalid University
Openalex Percentile: Top 7%
Nanofluid Flow and Heat Transfer
3.50
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Mathematical modeling and analysis for radiative MHD peristaltic flow of Bingham nanofluid — Zahid Nisar, Hamiden Abd El‐Wahed Khalifa, et al. · ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (2024) | TGRS Research Map | TGRS