Nowadays, the cooling of electronic components that are widely spread globally is
considered a critical issue. Designers and engineers alike confront major obstacles in …

Viscosity of nanofluids can significantly affect pumping power, pressure drop, workability of
the nanofluid as well as its convective heat transfer coefficient. Experimental measurements …

Solar thermal collectors are systems that allow for the use of solar energy in thermal
applications. These collectors utilize a heat transfer fluid to transport absorbed solar …

Heat exchangers are widely utilized in different thermal systems for diverse industrial
aspects. The selection of HEx depends on the thermal efficiency, operating load, size …

This paper focuses on designing an artificial neural network which can predict thermal
conductivity and dynamic viscosity of ferromagnetic nanofluids from input experimental data …

In this paper, at first, a new correlation was proposed to predict the relative viscosity of
MWCNTs-SiO 2/AE40 nano-lubricant using experimental data. Then, considering minimum …

This paper presents a 5-input artificial neural network (ANN) model for the prediction of the
thermal conductivity ratio of nanofluids to the base fluid (k nf/kf) of various nanofluids based …

The quantitative determination of specific heat capacity (SHC) of molten (nitrate) salt-based
nanofluids helps to control the start-up heat and prevent overheating when deployed as a …

Artificial Intelligence (AI) algorithms are becoming beneficial as substitute methods to
conventional approaches or as components of incorporated systems. They have been …

Regarding the viscosity of the fluids which is an imperative parameter for calculating the
required pumping power and convective heat transfer, based on experimental data, an …