Application of Artificial Neural Network for the Prediction of Pool Boiling Heat Transfer Coefficient of Nanofluid with External Magnetic Field Effect

Analyzing the pool boiling heat transfer of nanofluids with artificial neural network (ANN) is the primary goal of this research, which also intends to conduct experimental investigations.The trials were conducted with magnetic fields ranging from 0.0008 to 0.0012 Tesla and nanofluid concentrations from 0.015 to 0.075 vol%.The pressure inside the chamber might be anything from 50 to 150 kPa.Before conducting an ANN analysis, a training session was conducted to teach the network how to estimate the pooled boiling heat transfer performance of mixes containing nanoparticles of TiO2 and refrigerant R141b in the presence of a magnetic field.There is evidence that the strength is greatly impacted by particle Brownian motion, which results in improved heat