Utilization of Machine Learning Methods in Modeling Specific Heat Capacity of Nanofluids

Nanofluids are extensively applied in various heat transfer mediums for improving their characteristics and hence performance. Specific capacity of nanofluids, as one the thermophysical properties, performs principal role thermal utilizing nanofluids. In this regard, different studies have been carried out to investigate influential factors on nanofluids specific heat. Moreover, several regression models based correlations or artificial intelligence developed forecasting property current review paper, parameters introduced. Afterwards, proposed modeling proposed. According reviewed works, concentration properties solid structures addition temperature affect large extent must be considered inputs models. by using other effective factors, accuracy comprehensive can modified. Finally, some suggestions offered upcoming works relevant topics.