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This study aims to investigate the thermodynamic analysis for electroosmotic flow of [Formula: see text]–[Formula: see text] hybrid nanofluid in the presence of peristaltic propulsion. Hybrid nanofluid is an aqueous solution of copper and iron oxide nanoparticles. Effects of electric field, Ohmic heating, magnetic field, viscous dissipation, heat sink/source and mixed convection are also considered. The Debye–Hückel and lubrication approach has been adopted to perform mathematical modeling. The resulting differential equations are numerically solved by employing the Shooting method. Analysis has been presented for irreversibility rate and heat transfer for the flow of hybrid nanoliquid. Results reveal that the addition of nanoparticles reduces the temperature and entropy generation of hybrid nanoliquid. Heat transfer rate enhances by improving Joule heating and electroosmotic parameters. An increase in Helmholtz–Smoluchowski velocity and Hartmann number decrease the velocity of fluid. Thermal performance of hybrid nanofluid ([Formula: see text]–[Formula: see text]) is more noticeable in comparison with conventional mono nanofluid ([Formula: see text]–[Formula: see text]) and base fluid ([Formula: see text]).

Entropy generation is one of the key features in analysis as it exhibits irreversibility of the system. Therefore, the present study investigates the entropy generation rate in a mixed convective peristaltic motion of a reactive nanofluid through an asymmetrical divergent channel with heat and mass transfer characteristics. The endorsed nanofluid model holds thermophoresis and Brownian diffusions. Mathematical modeling is configured under the effects of mixed convection, heat generation/absorption and viscous dissipation. A chemical reaction is also introduced for the description of mass transportation. The resulting system of differential equations is numerically tackled by employing the Shooting method. The findings reveal that entropy generation rises by improving the Brownian motion and thermophoresis parameters. The temperature of the nanofluid decreases due to rising buoyancy forces caused by the concentration gradient. The concentration profile increases by increasing the chemical reaction parameter. The velocity increases by enhancing the Brownian motion parameter.