Entropy generation and Melting heat transfer on the Ferrohydrodynamic flow of Fe3O4-Ag/blood hybrid nanofluid with Cattaneo-Christov heat flux model

The physiological system loses heat energy through the bloodstream to nearby cells. Such energy loss can lead to a quick death, anemia, severe hypothermia and high or low blood pressure to heart surgery. As a result, biomedical engineers and physicians are increasingly attracted to the study of entropy production to calculate the energy loss of biological systems. Furthermore, the thermodynamic state of entropy production is used to access cancer cells during chemotherapy treatment and heat transfer in tissues. Because of these applications, the present model illustrates the entropy generation and melting heat transfer on the Ferrohydrodynamic flow of Fe3O4-Ag/blood Casson hybrid nanofluid with Cattaneo-Christov heat flux model. Using suitable self-similarity transformations, the system of momentum and thermal equations are converted into an ordinary differential system, which are resolved by employing the R-K-4th order with the shooting technique. The importance of diverse physical parameters on velocity, temperature, entropy generation, skin friction coefficient, rate of heat transfer, streamlines and isotherm are portrayed through graphs. The results elucidate that the ferromagnetic parameter decreases the blood nanofluid temperature. The velocity expresses the decreasing nature by elevating the inertia coefficient parameter. The Nusselt number increased by improving the values of the radiation parameter (R).

Automated summary

The study focuses on the energy loss of biological systems caused by the heat energy transfer from the physiological system to nearby cells. The research aims to understand the impact of entropy production on various medical conditions and treatment methods. The model used in the study illustrates the entropy generation and melting heat transfer in the Ferrohydrodynamic flow of Fe3O4-Ag/blood Casson hybrid nanofluid with Cattaneo-Christov heat flux model. The results provide insights into the effects of different parameters on velocity, temperature, entropy generation, and heat transfer.