Artificial intelligence in the field of nanofluids: A review on applications and potential future directions
Artificial Intelligence (AI) algorithms are becoming beneficial as substitute methods to
conventional approaches or as components of incorporated systems. They have been …
conventional approaches or as components of incorporated systems. They have been …
Estimation of unsteady hydromagnetic Williamson fluid flow in a radiative surface through numerical and artificial neural network modeling
In current investigation, a novel implementation of intelligent numerical computing solver
based on multi-layer perceptron (MLP) feed-forward back-propagation artificial neural …
based on multi-layer perceptron (MLP) feed-forward back-propagation artificial neural …
[HTML][HTML] Electrical efficiency of the photovoltaic/thermal collectors cooled by nanofluids: Machine learning simulation and optimization by evolutionary algorithm
Y Cao, E Kamrani, S Mirzaei, A Khandakar, B Vaferi - Energy Reports, 2022 - Elsevier
Abstract Photovoltaic/thermal (PV/T) are high-tech devices to transform solar radiation into
electrical and thermal energies. Nano-coolants are recently considered to enhance the …
electrical and thermal energies. Nano-coolants are recently considered to enhance the …
Developing dissimilar artificial neural networks (ANNs) to prediction the thermal conductivity of MWCNT-TiO2/Water-ethylene glycol hybrid nanofluid
In this paper, we developed dissimilar artificial neural networks (ANNs) by suitable
architectures and training algorithms via sensitivity analysis to predict the thermal …
architectures and training algorithms via sensitivity analysis to predict the thermal …
Evaluation of thermal conductivity of MgO-MWCNTs/EG hybrid nanofluids based on experimental data by selecting optimal artificial neural networks
In this paper, the thermal conductivity ratio of MgO-MWCNTs/EG hybrid nanofluids has been
predicted by an optimal artificial neural network at solid volume fractions of 0.05%, 0.1 …
predicted by an optimal artificial neural network at solid volume fractions of 0.05%, 0.1 …
Estimation of pressure drop of two-phase flow in horizontal long pipes using artificial neural networks
MS Shadloo, A Rahmat… - Journal of …, 2020 - asmedigitalcollection.asme.org
Gas–liquid two-phase flows through long pipelines are one of the most common cases
found in chemical, oil, and gas industries. In contrast to the gas/Newtonian liquid systems …
found in chemical, oil, and gas industries. In contrast to the gas/Newtonian liquid systems …
Application of support vector machines for accurate prediction of convection heat transfer coefficient of nanofluids through circular pipes
M Safdari Shadloo - International Journal of Numerical Methods for …, 2021 - emerald.com
Purpose Convection is one of the main heat transfer mechanisms in both high to low
temperature media. The accurate convection heat transfer coefficient (HTC) value is …
temperature media. The accurate convection heat transfer coefficient (HTC) value is …
[HTML][HTML] Comparative study of artificial neural network versus parametric method in COVID-19 data analysis
Since the previous two years, a new coronavirus (COVID-19) has found a major global
problem. The speedy pathogen over the globe was followed by a shockingly large number …
problem. The speedy pathogen over the globe was followed by a shockingly large number …
A novel comparative analysis between the experimental and numeric methods on viscosity of zirconium oxide nanofluid: Developing optimal artificial neural network …
AB Çolak - Powder Technology, 2021 - Elsevier
In this study, the viscosity of five different ZrO 2/Water nanofluids of 0.0125%, 0.025%,
0.05%, 0.1% and 0.2% prepared by the two-step method were experimentally investigated …
0.05%, 0.1% and 0.2% prepared by the two-step method were experimentally investigated …
Nanofluids as coolant in a shell and tube heat exchanger: ANN modeling and multi-objective optimization
M Hojjat - Applied Mathematics and Computation, 2020 - Elsevier
In the present study, an artificial neural network (ANN) was developed to predict the thermal
and hydrodynamic behavior of two types of Newtonian nanofluids used as coolants in a …
and hydrodynamic behavior of two types of Newtonian nanofluids used as coolants in a …