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Caputo–Fabrizio fractional order model on MHD blood flow with heat and mass transfer through a porous vessel in the presence of thermal radiation

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  • Maiti, S.
  • Shaw, S.
  • Shit, G.C.

Abstract

In this article we propose a fractional order time derivative model on blood flow, heat and mass transfer through an arterial segment having interaction with magnetic field in the presence of thermal radiation and body acceleration. The study focuses on the unidirectional blood flow through porous medium vessel by treating non-Newtonian Casson fluid model. The mathematical model of Caputo–Fabrizio fractional derivative has been used and the problem is solved by employing the Laplace transform as well as finite Hankel transform method. The analytical expressions for blood flow velocity, temperature and concentration are obtained. The effects of order of the Caputo–Fabrizio fractional derivative, external magnetic field, Reynolds number, Darcy number, thermal radiation, Peclet number, Schmidt number are presented graphically. The study shows that the fractional order parameter has reducing effect on blood velocity, temperature and concentration as well as on the skin-friction coefficient and Nusselt number. Moreover, Hartmann number, thermal radiation and Soret effect play an important role in controlling wall shear stress, Nusselt number and Sherwood number respectively. More precisely these results bear the significant applications in biomedical Engineering and pathology.

Suggested Citation

  • Maiti, S. & Shaw, S. & Shit, G.C., 2020. "Caputo–Fabrizio fractional order model on MHD blood flow with heat and mass transfer through a porous vessel in the presence of thermal radiation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    • Handle: RePEc:eee:phsmap:v:540:y:2020:i:c:s037843711931773x
    DOI: 10.1016/j.physa.2019.123149
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    References listed on IDEAS

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    1. Abdulhameed, M. & Vieru, D. & Roslan, R., 2017. "Modeling electro-magneto-hydrodynamic thermo-fluidic transport of biofluids with new trend of fractional derivative without singular kernel," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 233-252.
    2. J. Venkatesan & D. S. Sankar & K. Hemalatha & Yazariah Yatim, 2013. "Mathematical Analysis of Casson Fluid Model for Blood Rheology in Stenosed Narrow Arteries," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-11, September.
    3. Ghasemi, Seiyed E. & Hatami, M. & Hatami, J. & Sahebi, S.A.R. & Ganji, D.D., 2016. "An efficient approach to study the pulsatile blood flow in femoral and coronary arteries by Differential Quadrature Method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 406-414.
    4. He, Shaobo & Fataf, N.A.A. & Banerjee, Santo & Sun, Kehui, 2019. "Complexity in the muscular blood vessel model with variable fractional derivative and external disturbances," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    5. Morales-Delgado, V.F. & Gómez-Aguilar, J.F. & Saad, Khaled M. & Khan, Muhammad Altaf & Agarwal, P., 2019. "Analytic solution for oxygen diffusion from capillary to tissues involving external force effects: A fractional calculus approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 48-65.
    6. T. Chinyoka & O. D. Makinde, 2014. "Computational Dynamics of Arterial Blood Flow in the Presence of Magnetic Field and Thermal Radiation Therapy," Advances in Mathematical Physics, Hindawi, vol. 2014, pages 1-9, April.
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    Cited by:

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    2. Ali, Hegagi Mohamed & Ameen, Ismail Gad & Gaber, Yasmeen Ahmed, 2024. "The effect of curative and preventive optimal control measures on a fractional order plant disease model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 220(C), pages 496-515.

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