Abstract
Abstract The investigation of thermal transport in the nanofluid over a curved Riga surface is significant and extensively used in many industries as well as in engineering. Therefore, the study is conducted to analyze the thermal transport rate in H2O composed of nanomaterial, namely, carbon nanotubes (CNTs). To improve the thermal conductance, a thermal conductivity correlation based on the length and radius of CNTs is plugged in the energy equation. After that, the flow model was reduced into a self-similar form via feasible transformations and tackled numerically. From the plotted results, it is experienced that the nanofluid velocity drops against a more curved surface. The momentum boundary layer intensifies against larger curvature. An enhanced temperature is experienced in the nanofluid due to varying the parameters. Further, thermal conductivity of the nanofluids rises due to the high volume fraction factor, which plays a significant role in thermal transport. Moreover, the local thermal performance rises linearly against M.
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