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Magnetohydrodynamic, mass suction improves the efficiency of aggregation effects on flow and heat transfer of nanofluids over curved stretching/shrinking surface with Lorentz forces are explored in this research study, which is two-dimensional. In order to solve the partial differential equations, the similarity transformation is used to translate them into ordinary differential equations. Numerical analysis of the model is performed using RK- 4 technique coupled with the shooting technique. The local Nusselt number, velocity, and temperature profiles, as well as the skin friction coefficient, are all now being studied. The solution can be found by analyzing a precise range of characteristics, such as stretching/shrinking, suction, and curvature. These metrics critical values fall as the nanoparticle volume fractions increase, indicating that they are becoming more stable. [ABSTRACT FROM AUTHOR]

The numerical exploration of the dynamics of hybrid type nanofluid (Cu-Al2O3)/water over a fascinating domain of stretching/shrinking porous wedge is performed. The problem is designed and studied numerically by fluctuating the flow parameters. From the results, dominant behavior of stretching/shrining and suction/injection parameters observed on the velocity field. These are prominent at the wedge surface due to significant influence of suction/injection and stretchable characteristics of wedge. Further study revealed that (Cu-Al2O3)/water has better conductive characteristics than normal Cu/water due to optimum dominant thermophysical values of hybrid nanoparticles. The temperature drops prominently for λ with stretching of wedge. Further, injecting fluid from the wedge surface favors the temperature variations. Finally, the results aligned with published data under certain feasible conditions and found that the conducted study is valid. [ABSTRACT FROM AUTHOR]

The analysis of nanofluids under various physical scenarios convinced the researchers and scientists because of their broad range of applications in potential area of the current time like chemical engineering, biomedical engineering and applied thermal engineering etc. To give the final shape of many industrial and engineering processes, enhanced heat transfer desired, therefore, the study of Al2O3-H2O, γAl2O3-H2O, Al2O3-C2H6O2, and γAl2O3- C2H6O2 nanofluids is reported. The model successfully achieved after mathematical operations and by appealing similarity transforms. To examine the behavior of heat transfer, numerical tools utilized and performed the results. It is observed that enhanced heat transfer in Al2O3-H2O, γAl2O3-H2O, Al2O3-C2H6O2, and γAl2O3-C2H6O2 could be attained by setting nanoparticles concentration up to 20%. For Al2O3-H2O, γAl2O3-H2O, optimum heat transfer trends noticed due to their prominent thermophysical values. Also, fewer effects of combined convection on θ (η) examined. [ABSTRACT FROM AUTHOR]