Nu Dataset for GNP Flow in Sinusoidal Microchannels

The study investigates the effects of six key parameters on convective heat transfer: Reynolds number (Re), nanoparticle concentration (wt.%), amplitude (A) and frequency (ω) of the sinusoidal path, microchannel thickness, and the number of sinusoidal waves (serpentines).

A total of 30 CFD simulations were performed in three parametric groups to obtain the corresponding Nu values. The configurations vary systematically to isolate the influence of each parameter pair. The average Nusselt numbers for each case are reported and have been used further in a two-step machine learning framework for predictive modeling and optimization.