Modeling peristaltic nanofluid flow with microorganisms for thermal therapy: a CFD and entropy analysis

This research investigates the effects of multi-slip conditions and entropy production on the flow of viscoelastic (Jeffrey) nanofluids in asymmetric channels, to determine the implications for healthcare applications such as cryopreservation and therapeutic thermal devices. By employing numerical simulations via the Shooting method and NDSolve tool, we examine the influence of motile microorganisms on the fluid’s thermal and entropic characteristics. Our findings, illustrated through graphical analysis, demonstrate that optimizing thermal slip and minimizing viscous slip can significantly reduce entropy generation. Additionally, we observe that the thermal profiles are affected by the Brinkman number-diminishing in size, yet expanding due to the Jeffrey fluid’s properties. This investigation not only advances our understanding of microbe motion in physiological fluids but also opens directions for developing precise therapeutic and diagnostic tools for microbial infections and related disorders.