Thermal storage study and enhancement of heat transfer through hybrid Jeffrey nanofluid flow in ducts under peristaltic motion with entropy generation

Abstract

This article examines the analysis of peristaltic transport within a vertical sinusoidal wavy duct using a hybrid nanofluid composed of deionized blood and nanoparticles such as Graphene Oxide (Go) and Molybdenum disulfide (MoS2). The study also investigates volumetric entropy generation, employing the Jeffrey fluid model known for its representation of both viscous and elastic fluid behaviors. The mathematical framework integrates Navier–Stokes equations and the energy equation. Simplifying the analysis, non-dimensional equations are derived for the hybrid nanofluid in a two-dimensional coordinate system, assuming a long wavelength (δ < 1) and low Reynolds number (Re). The Galerkin finite element method via MATLAB is employed for numerical solutions. The results, depicted graphically using MATLAB, offer insights into temperature variations and the two-dimensional peristaltic flow concerning different parameters. To the best of authors knowledge entropy generation analysis is still not carried out for blood base Go-MoS2 hybrid nanofluid in a vertical wavy channel. The aim of the present study is to explore the contribution of significant parameters on entropy generation. One of the key findings includes that flow rate and Brinkmann number contribute to enhance entropy generation in presence of hybrid nanofluid.