An updated review of nanofluids in various heat transfer devices
The field of nanofluids has received interesting attention since the concept of dispersing
nanoscaled particles into a fluid was first introduced in the later part of the twentieth century …
nanoscaled particles into a fluid was first introduced in the later part of the twentieth century …
Recent advances in machine learning research for nanofluid-based heat transfer in renewable energy system
Nanofluids have gained significant popularity in the field of sustainable and renewable
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …
Sonication impact on thermal conductivity of f-MWCNT nanofluids using XGBoost and Gaussian process regression
Background Previous research has revealed that nanofluids are capable of improving the
heat transfer performance of energy systems. Researchers devote a considerable deal of …
heat transfer performance of energy systems. Researchers devote a considerable deal of …
Pore-scale analysis of two-phase nanofluid flow and heat transfer in open-cell metal foams considering Brownian motion
Simultaneous use of porous media and nanofluids will increase the convective heat transfer
multiple times compared to non-porous and pure fluid conditions. Heat transfer and flow …
multiple times compared to non-porous and pure fluid conditions. Heat transfer and flow …
Estimating the density of hybrid nanofluids for thermal energy application: Application of non-parametric and evolutionary polynomial regression data-intelligent …
There is no doubt that density is one of the most crucial thermophysical properties of hybrid
nanofluids in thermal energy applications. Various research papers have been devoted to …
nanofluids in thermal energy applications. Various research papers have been devoted to …
On the specific heat capacity estimation of metal oxide-based nanofluid for energy perspective–A comprehensive assessment of data analysis techniques
The main aim of the present study is to investigate the capabilities of four robust machine
learning method-the Kernel Extreme Learning Machine (KELM), Adaptive Regression …
learning method-the Kernel Extreme Learning Machine (KELM), Adaptive Regression …
Two-phase modeling of the free convection of nanofluid inside the inclined porous semi-annulus enclosure
In the present paper, the modeling of the free convection of two-phase nanofluid inside the
inclined porous semi-annulus enclosure is considered. The cavity is filled with Fe 3 O 4 …
inclined porous semi-annulus enclosure is considered. The cavity is filled with Fe 3 O 4 …
Experimental investigation of synthesized Al2O3 Ionanofluid's energy storage properties: Model-prediction using gene expression programming
Abstract In this work, 3-hydroxy-1-(4-(1-methyl piperidine-1-ium-1-yl) butyl) quinuclidine-1-
ium bromide ionic liquid (IL) is synthesized. Al 2 O 3 (~ 50 nm) nanoparticles (NPs) were …
ium bromide ionic liquid (IL) is synthesized. Al 2 O 3 (~ 50 nm) nanoparticles (NPs) were …
Application of artificial intelligence in digital twin models for stormwater infrastructure systems in smart cities
Digital twins provide insights into physical objects by serving as advanced virtual
representations. Their sensors capture detailed information about an object's functionality …
representations. Their sensors capture detailed information about an object's functionality …
Load-settlement response of a footing over buried conduit in a sloping terrain: a numerical experiment-based artificial intelligent approach
Settlement estimation of a footing located over a buried conduit in a sloping terrain is a
challenging task for practicing civil/geotechnical engineers. In the recent past, the advent of …
challenging task for practicing civil/geotechnical engineers. In the recent past, the advent of …