Abstract

The investigation of thermal performance in the nanofluids for unsteady boundary layer flow by considering the impacts of suction/injection is a significant research area in the field of fluid dynamics. This flow situation is broadly used in aerodynamics and space sciences as well. The model is formulated for ND-H2O and Ag-H2O nanofluids and then tackled numerically and captured the dynamics of the nanofluids under the multiple flow parameters. From the results, it is investigated that both ND-H2O and Ag-H2O have high thermal performance characteristics. However, higher heat transfer performance is observed for Ag based nanofluid. Further, a graphical and tabular comparison under certain assumptions is provided to authenticate the analysis.

Highlights

  • The investigation of thermal performance in the nanofluids for unsteady boundary layer flow by considering the impacts of suction/injection is a significant research area in the field of fluid dynamics

  • The applications of nanofluids comprised in aerodynamics, medical sciences, computer chips, paint industry, manufacturing of aircraft parts and many more

  • Fluid dynamists tried to examine the dynamics of the fluids over an unsteady stretching surface under various flow conditions

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Summary

Heat capacity

More nanofluid particles stuck at the surface due to suction effects as a result the fluid velocity F′(η) decreases. The effects of unsteady parameter A1 on the nanofluid velocities at fixed suction and injection are elaborated in Fig. 3a and b, respectively. The effective thermal physical values of the nanomaterials are key factors in the analysis of the nanofluids regarding the heat transport mechanism These values significantly alter the fluids thermal characteristics. The volume fraction ( φ ) of the nanomaterials effectively alters thermophysical values which play vibrant role in the heat transport mechanism in the nanofluids To check the credibility of the study graphical and tabular comparison is provided and found excellent agreement with previous work

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