Bioconvective Reiner-Rivlin nanofluid flow over a rotating disk with Cattaneo-Christov flow heat flux and entropy generation analysis

The non-Newtonian fluids possess captivating heat transfer applications in comparison to the Newtonian fluids. Here, a new type of non-Newtonian fluid named Reiner-Rivlin nanofluid flow over a rough rotating disk with Cattaneo-Christov (C-C) heat flux is studied in a permeable media. The stability of the nanoparticles is augmented by adding the gyrotactic microorganisms in the nanofluid. The concept of the envisaged model is improved by considering the influences of Arrhenius activation energy, chemical reaction, slip, and convective conditions at the boundary of the surface. The entropy generation is evaluated by employing the second law of thermodynamics. The succor of the Shooting scheme combined with the bvp4c MATLAB software is adapted for the solution of extremely nonlinear system of equations. The noteworthy impacts of the evolving parameters versus engaged fields are inspected through graphical illustrations. The outcomes show that for a strong material parameter of Reiner-Rivlin, temperature, and concentration profiles are enhanced. The behavior of Skin friction coefficients, local Nusselt number, Sherwood number, and local density number of motile microorganisms against the different estimates of emerging parameters are represented in tabular form. The authenticity of the intended model is tested by comparing the presented results in limiting form to an already published paper. A proper correlation between the two results is attained.

Automated summary

A new type of non-Newtonian fluid named Reiner-Rivlin nanofluid flow over a rough rotating disk with Cattaneo-Christov (C-C) heat flux is studied in a permeable media, with the stability of the nanoparticles augmented by adding gyrotactic microorganisms. The concept is improved by considering factors like Arrhenius activation energy, chemical reaction, slip, and convective conditions at the surface boundary. The entropy generation is evaluated using the second law of thermodynamics, and the results are compared with a previously published paper to validate the accuracy of the model.