Melting heat transfer in squeezing flow of basefluid (water), nanofluid (CNTs + water) and hybrid nanofluid (CNTs + CuO + water)

Abstract

Unsteady squeezed flow of hybrid nanofluid is investigated in this analysis. Comparison of hybrid nanofluid (using CNTs + CuO) and nanofluid (using CNTs) is emphasized. Water is considered as basefluid. Melting effect and viscous dissipation describe heat transfer features. Entropy production and Bejan number are addressed. Relevant flow expressions (PDEs) are transmitted into ODEs through suitable transformations. By means of numerical method (shooting technique with RK-4 algorithm), the obtained ODEs are solved. Comparative study of basefluid (water), hybrid nanofluid (using CNTs + CuO) and nanofluid (using CNTs) is performed for impacts of involved flow parameters on entropy production rate, velocity, Bejan number and temperature. Further comparative analysis of basefluid (water), hybrid nanofluid (using CNTs + CuO) and nanofluid (using CNTs) is done through numerical evaluation of Nusselt number. Velocity of fluid intensifies for larger values of squeezing parameter, nanoparticle volume fraction for single-walled CNTs or multi-walled CNTs, melting parameter and nanoparticle volume fraction for copper oxide in case of both nanofluid and hybrid nanofluid flow. Temperature of fluid enhances with increment in Eckert number while it can be controlled via larger nanoparticle volume fraction for single-walled CNTs or multi-walled CNTs, squeezing parameter, melting parameter and nanoparticle volume fraction for copper oxide. Rate of heat transfer or Nusselt number increases with larger estimation of squeezing parameter, nanoparticle volume fraction for copper oxide, melting parameter and nanoparticle volume fraction for single-walled CNTs or multi-walled CNTs. Entropy production rate is higher for squeezing parameter, melting parameter and Eckert number. Bejan number is reduced with melting parameter while it increases for larger squeezing parameter and Eckert number. During comparative analysis, the performance of hybrid nanofluid is efficient.