Biomedical aspects of entropy generation on MHD flow of TiO2-Ag/blood hybrid nanofluid in a porous cylinder
N. Shanmugapriyan and
Shaik Jakeer
Computer Methods in Biomechanics and Biomedical Engineering, 2024, vol. 27, issue 11, 1492-1509
Abstract:
This study aims to analyze the heat transfer behavior of the magnetohydrodynamic blood-based Casson hybrid nanofluid in the occurrence of a non-Fourier heat flux model and linear thermal radiation over a horizontal porous stretching cylinder with potential applications in biomedical engineering. The present investigation utilised titanium dioxide and silver nanoparticles, which exhibit considerable potential in the realm of cancer therapy. Thus, there is a growing interest among biomedical engineers and clinicians in the study of entropy production as a means of quantifying energy dissipation in biological systems. Suitable self-similarity variables are employed to transform the nonlinear mathematical equations such as velocity, temperature, skin friction coefficient, and heat transfer rate, which are computed via homotopy perturbation method (HPM). HPM computations have been executed to solve the influences of various parameters such as porosity parameter (K=0.0,1.0,2.0), Curvature parameter (α=0.0,1.0,3.0,5.0), Casson parameter (β=0.0,0.5,1.5), inertia coefficient (Fr=0.5,1.5,2.5), thermal relaxation parameter (δ∗=0.0,0.5,1.0), radiation (Rd=0.0,0.5,1.0), Eckert number (Ec=0.0,0.1,0.2), Brinkman number (Br=0.5,1.0,1.5) and temperature difference parameter (α1=0.0,0.5,1.0). The comparison using the homotopy perturbation technique produces a more accurate and reliable consequence than the numerical method (Runge-Kutta method). The higher values of the Casson and Curvature parameters decrease the velocity profile. The temperature profile of M = 1 and M = 0 increases with improving values of the thermal relaxation parameter. Entropy generation rises to enhance Brinkman number values, whereas Bejan number exhibits the reverse influence. Improving the value of the heat source parameter declines the Nusselt number.
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:taf:gcmbxx:v:27:y:2024:i:11:p:1492-1509
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DOI: 10.1080/10255842.2023.2245520
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