A Computational Study of Hemodynamic Resistance in a Symmetrical Arterial Stenosis Under Magnetic Influence
Authors
Tejpal Singh
K. G. K. College, Moradabad 244001, MJPRU Bareilly (IN)
P. K. Shukla
K. G. K. College, Moradabad 244001, MJPRU Bareilly (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2025.1410000158
Subject Category: Mathematics
Volume/Issue: 14/10 | Page No: 1344-1350
Publication Timeline
Submitted: 2025-11-25
Published: 2025-11-25
Abstract
Abstract: This study presents a comprehensive computational analysis of blood flow resistance in a symmetrically stenosed artery under the influence of an external magnetic field—a scenario of growing clinical relevance due to the rising interest in magnetically assisted therapies. Modeling blood as a viscous, incompressible, and electrically conducting fluid with radially variable viscosity, the problem incorporates both geometric non-uniformity and magnetohydrodynamic effects through the inclusion of a transverse magnetic field. The governing equations, derived in cylindrical coordinates and non-dimensionalized using characteristic parameters, are solved using the Finite Difference Method, offering robust insights into velocity distributions and flow resistance. The results reveal that stenosis height alone significantly elevates resistance, while the presence of a magnetic field amplifies this effect nonlinearly, with higher field strengths causing pronounced suppression of axial velocity. Velocity profiles flatten and shear rates near the arterial wall intensify with increasing stenosis and magnetic influence, underscoring the synergistic impact of these parameters. This work not only advances our understanding of MHD- modulated hemodynamics but also provides a theoretical foundation for future biomedical applications such as targeted drug delivery, vascular diagnostics, and therapeutic flow control.
Keywords
Hemodynamic resistance, Symmetrical stenosis, Magnetohydrodynamics (MHD), Blood flow modeling, Lorentz force, Finite Difference Method (FDM)
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References
1. Maurya, C. S., & Kumar, A. (2025). Modelling of coronary artery stenosis and study of hemodynamic under the influence of magnetic fields. Computers in Biology and Medicine, 184, 109464. [Google Scholar] [Crossref]
2. Karim, A. (2018). Hemodynamic blood flow through human artery of composite geometry under the effect of applied magnetic field. [Google Scholar] [Crossref]
3. Ali, A., Hussain, M., Anwar, M. S., & Inc, M. (2021). Mathematical modeling and parametric investigation of blood flow through a stenosis artery. Applied Mathematics and Mechanics, 42, 1675-1684. [Google Scholar] [Crossref]
4. Hewlin Jr, R. L., Smith, M., & Kizito, J. P. (2023). Computational assessment of unsteady flow effects on magnetic nanoparticle targeting efficiency in a magnetic stented carotid bifurcation artery. Cardiovascular Engineering and Technology, 14(5), 694-712. [Google Scholar] [Crossref]
5. Asha, K. N., & Srivastava, N. (2021, October). Geometry of stenosis and its effects on the blood flow through an artery-A theoretical study. In AIP conference proceedings (Vol. 2375, No. 1). AIP Publishing. [Google Scholar] [Crossref]
6. Khairuzzaman, M. (2020). Computational simulation of physiological blood flow through arterial stenosis for measuring the effects of stenotic shapes on various flow parameters (Doctoral dissertation, Iwate University). [Google Scholar] [Crossref]
7. Priyadharshini, S., & Ponalagusamy, R. (2017). Computational model on pulsatile flow of blood through a tapered arterial stenosis with radially variable viscosity and magnetic field. Sādhanā, 42, 1901-1913. [Google Scholar] [Crossref]
8. Oyelami, F. H., Ige, E. O., Taiyese, N. O., & Saka-Balogun, O. Y. (2021). Magneto-radiative analysis of thermal effect in symmetrical stenotic arterial blood flow. J. Math. Comput. Sci., 11(5), 5213-5230. [Google Scholar] [Crossref]
9. Varshney, G., Katiyar, V., & Kumar, S. (2010). Effect of magnetic field on the blood flow in artery having multiple stenosis: a numerical study. International Journal of Engineering, Science and Technology, 2(2), 967-82. [Google Scholar] [Crossref]
10. Chen, X., Cao, H., Li, Y., Chen, F., Peng, Y., Zheng, T., & Chen, M. (2024). Hemodynamic influence of mild stenosis morphology in different coronary arteries: a computational fluid dynamic modelling study. Frontiers in Bioengineering and Biotechnology, 12, 1439846. [Google Scholar] [Crossref]
11. Kumar, A., & Shah, S. R. (2024). Hemodynamic simulation approach to understanding blood flow dynamics in stenotic arteries. International Journal of Scientific Research in Science and Technology, 11(6), 630-636. [Google Scholar] [Crossref]
12. Zaman, A., Ali, N., & Bég, O. A. (2016). Unsteady magnetohydrodynamic blood flow in a porous-saturated overlapping stenotic artery—numerical modeling. Journal of Mechanics in Medicine and Biology, 16(04), 1650049. [Google Scholar] [Crossref]
13. Singh, S. (2011). Effects of shape of stenosis on arterial rheology under the influence of applied magnetic field. International Journal of Biomedical Engineering and Technology, 6(3), 286-294. [Google Scholar] [Crossref]
14. Abdelsalam, S. I., & Bhatti, M. M. (2025). Synergistic progression of nanoparticle dynamics in stenosed arteries. Qualitative Theory of Dynamical Systems, 24(1), 1-32. [Google Scholar] [Crossref]
15. Wahab, A., Asjad, M. I., Riaz, M. B., & Haider, J. A. (2025). Modeling and simulation of blood flow in unhealthy elliptic arteries with computational fluid dynamics approach. PloS one, 20(4), e0317989. [Google Scholar] [Crossref]
16. Ponalagusamy, R., & Priyadharshini, S. (2018). Numerical investigation on two-fluid model (micropolar-Newtonian) for pulsatile flow of blood in a tapered arterial stenosis with radially variable magnetic field and core fluid viscosity. Computational and Applied Mathematics, 37, 719-743. [Google Scholar] [Crossref]
17. Alshare, A., Tashtoush, B., & El-Khalil, H. H. (2013). Computational modeling of non- newtonian blood flow through stenosed arteries in the presence of magnetic field. Journal of Biomechanical Engineering, 135(11), 114503. [Google Scholar] [Crossref]
18. Hewlin Jr, R. L., & Tindall, J. M. (2023). Computational assessment of magnetic nanoparticle targeting efficiency in a simplified circle of willis arterial model. International Journal of Molecular Sciences, 24(3), 2545. [Google Scholar] [Crossref]
19. Babatunde, A. J., & Dada, M. S. (2024). Magnetic Effects on Unsteady Non-Newtonian Blood Flow through a Tapered and Overlapping Stenotic Artery. Applications & Applied Mathematics, 19(1). [Google Scholar] [Crossref]
20. Abdollahzadeh Jamalabadi, M. Y., Daqiqshirazi, M., Nasiri, H., Safaei, M. R., & Nguyen, [Google Scholar] [Crossref]
21. T. K. (2018). Modeling and analysis of biomagnetic blood Carreau fluid flow through a stenosis artery with magnetic heat transfer: A transient study. PLoS One, 13(2), e0192138. [Google Scholar] [Crossref]
22. Tu, J., Inthavong, K., & Wong, K. K. L. (2015). Computational Hemodynamics–Theory, Modelling and Applications. Springer. [Google Scholar] [Crossref]
23. Hossain, M. A. (2019). Numerical study of controlling blood flow through a stenosed artery using power-law fluid. [Google Scholar] [Crossref]
24. Zuberi, H. A., Lal, M., Singh, A., Zainal, N. A., & Chamkha, A. J. (2025). Numerical Simulation of Blood Flow Dynamics in a Stenosed Artery Enhanced by Copper and Alumina Nanoparticles. Computer Modeling in Engineering & Sciences (CMES), 142(2). [Google Scholar] [Crossref]
25. Zuberi, H. A., Lal, M., Verma, S., Chamkha, A. J., & Zainal, N. A. (2025). Impact of gold and silver nanoparticles injected in blood with viscous dissipation. Computer Methods in Biomechanics and Biomedical Engineering, 28(8), 1373-1397. [Google Scholar] [Crossref]
26. Zainal, N. A., Mokhtar, D. M., Waini, I., Zuberi, H. A., Nazar, R., & Pop, I. (2025). Mixed convection of couple stress hybrid nanofluid past a vertical shrinking plate. Journal of Thermal Analysis and Calorimetry, 1-9. [Google Scholar] [Crossref]
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