Thermo-electrical analysis of blood flow in diseased arteries: A thermodynamic and numerical treatment

This work investigates blood flow (BF) via a stenotic vessel using the Sutterby fluid model, providing numerical solutions that capture the complex non-Newtonian flow dynamics. Buongiorno's formulation is employed to account for the impacts of nanoparticle transport via Brownian motion and thermophoresis. The primary objective is to explore the impact of key physical parameters on BF behaviour in the presence of mild stenosis. A coupled system of non-linear partial differential equations governing momentum, energy, and mass transport is formulated, nondimensionalized, and simplified with the assumptions of mild stenosis. The resultant model is resolved computationally by applying the finite difference methodology to analyze velocity, temperature, nanoparticle concentration, wall shear stress, volumetric flow rate, and flow resistance. The numerical results reveal that an increase in the thermophoretic parameter improves the axial blood velocity by approximately 15–25 %, leading to a notable redistribution of nanoparticles away from the vessel wall. Similarly, elevated nanoparticle volume fraction increases the temperature profile by nearly 20 %, while simultaneously reducing flow resistance due to enhanced thermal conductivity. Wall shear stress is observed to rise with increasing stenosis severity and magnetic effects, whereas the volumetric flow rate decreases by up to 30 % under higher stenotic conditions. The graphical outcomes provide clear evidence of how stenosis and nanoparticle presence significantly modify BF characteristics, offering valuable insights for biomedical implementations like targeted drug deliveries and thermal therapy. • Investigation is carried out on electrothermal blood flow in a stenosed artery, incorporating thermophoresis effects. • Blood is modelled as Sutterby fluid with a magnetic field and external acceleration. • Thermophoretic impact on platelet and cholesterol deposition is analyzed. • Findings aid in thermal therapies and targeted drug delivery for arterial diseases. • Pathological processes and medical treatment precision understanding in diseased arteries are enhanced.

Authors

Institutions

Publication Details

Journal
Journal of Radiation Research and Applied Sciences
Published
2026-02-05
DOI
https://doi.org/10.1016/j.jrras.2026.102211
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thermo-electrical analysis of blood flow in diseased arteries: A thermodynamic and numerical treatment

Mohamed R. Eid, Bandar M. Fadhl, T. Nazar, Maimoona Karim et al.
Journal of Radiation Research and Applied Sciences
Nanofluid Flow and Heat Transfer
article

Thermo-electrical analysis of blood flow in diseased arteries: A thermodynamic and numerical treatment

Mohamed R. Eid, Bandar M. Fadhl, T. Nazar, Maimoona Karim, Hijaz Ahmad, Nagat A.A. Siddig, Assmaa Abd-Elmonem, Syed M. Hussain, M.S. Shabbir, Rana Muhammad Zulqarnain
article en

Abstract

This work investigates blood flow (BF) via a stenotic vessel using the Sutterby fluid model, providing numerical solutions that capture the complex non-Newtonian flow dynamics. Buongiorno's formulation is employed to account for the impacts of nanoparticle transport via Brownian motion and thermophoresis. The primary objective is to explore the impact of key physical parameters on BF behaviour in the presence of mild stenosis. A coupled system of non-linear partial differential equations governing momentum, energy, and mass transport is formulated, nondimensionalized, and simplified with the assumptions of mild stenosis. The resultant model is resolved computationally by applying the finite difference methodology to analyze velocity, temperature, nanoparticle concentration, wall shear stress, volumetric flow rate, and flow resistance. The numerical results reveal that an increase in the thermophoretic parameter improves the axial blood velocity by approximately 15–25 %, leading to a notable redistribution of nanoparticles away from the vessel wall. Similarly, elevated nanoparticle volume fraction increases the temperature profile by nearly 20 %, while simultaneously reducing flow resistance due to enhanced thermal conductivity. Wall shear stress is observed to rise with increasing stenosis severity and magnetic effects, whereas the volumetric flow rate decreases by up to 30 % under higher stenotic conditions. The graphical outcomes provide clear evidence of how stenosis and nanoparticle presence significantly modify BF characteristics, offering valuable insights for biomedical implementations like targeted drug deliveries and thermal therapy. • Investigation is carried out on electrothermal blood flow in a stenosed artery, incorporating thermophoresis effects. • Blood is modelled as Sutterby fluid with a magnetic field and external acceleration. • Thermophoretic impact on platelet and cholesterol deposition is analyzed. • Findings aid in thermal therapies and targeted drug delivery for arterial diseases. • Pathological processes and medical treatment precision understanding in diseased arteries are enhanced.

Journal of Radiation Research and Applied SciencesVol. 19(1)
Khazar University (AZ), Northern Border University (SA), Islamia University of Bahawalpur (PK), South Valley University (EG), Korea University (KR), Umm al-Qura University (SA), Islamic University of Madinah (SA), University of Warsaw (PL), University of Education (PK), Near East University (CY), King Khalid University (SA), Saveetha University (IN)
Good health and well-being
Openalex Percentile: Top 66%
Nanofluid Flow and Heat Transfer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.