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State-of-the-art review of nanofluids in solar collectors: A review based on the type of the dispersed nanoparticles
Nanofluids as a new generation of fluids have attracted a lot of research works. There is
growing evidence that the nanofluids are more suitable for various heat transfer applications …
growing evidence that the nanofluids are more suitable for various heat transfer applications …
[HTML][HTML] The improved thermal efficiency of Maxwell hybrid nanofluid comprising of graphene oxide plus silver/kerosene oil over stretching sheet
An analysis for heat transfer enhancement of Graphene oxide (Go)/Kerosene oil and Go+
silver (Ag)/Kerosene oil hybrid nanofluid is made theoretically when the fluids flow through a …
silver (Ag)/Kerosene oil hybrid nanofluid is made theoretically when the fluids flow through a …
[HTML][HTML] Enhancing thermal efficiency in MHD kerosene oil-based ternary hybrid nanofluid flow over a stretching sheet with convective boundary conditions
The increasing demand for thermal management due to the high heat density heat
exchangers for different technological and industrial processes draw the attention of …
exchangers for different technological and industrial processes draw the attention of …
[HTML][HTML] An optimal investigation of convective fluid flow suspended by carbon nanotubes and thermal radiation impact
D Yu, R Wang - Mathematics, 2022 - mdpi.com
This study is focused towards analyzing the heat and flow movement among two stretching
rotating disks inside water-based carbon nanotubes. The idea of thermal boundary …
rotating disks inside water-based carbon nanotubes. The idea of thermal boundary …
Unsteady hybrid-nanofluid flow comprising ferrousoxide and CNTs through porous horizontal channel with dilating/squeezing walls
The key objective of the present research is to examine the hybrid magnetohydrodynamics
(MHD) nanofluid (Carbon-nanotubes and ferrous oxide–water) CNT–Fe 3 O 4/H 2 flow into a …
(MHD) nanofluid (Carbon-nanotubes and ferrous oxide–water) CNT–Fe 3 O 4/H 2 flow into a …
[HTML][HTML] Mathematical analysis of heat and mass transfer efficiency of bioconvective Casson nanofluid flow through conical gap among the rotating surfaces under the …
In the current proceeding, the flow of incompressible non-Newtonian nanofluid called
Casson nanofluid is considered. A conical gap occurred among the rotating disc and the …
Casson nanofluid is considered. A conical gap occurred among the rotating disc and the …
Thermal performance of hydromagnetic nanofluid flow within an asymmetric channel with arbitrarily conductive walls filled with Darcy-Brinkman porous medium
The primary purpose of the investigation is to explore the thermal performance of steady
hydromagnetic flow of Ti 6 Al 4 VH 2 O nanofluid within two arbitrarily electrically conductive …
hydromagnetic flow of Ti 6 Al 4 VH 2 O nanofluid within two arbitrarily electrically conductive …
MHD thermogravitational convection and thermal radiation of a micropolar nanoliquid in a porous chamber
This work studies the thermogravitational transmission and thermal radiation of micropolar
nanoliquid within a porous chamber in the presence of the uniform magnetic influence. The …
nanoliquid within a porous chamber in the presence of the uniform magnetic influence. The …
Natural convection of water-based carbon nanotubes in a partially heated rectangular fin-shaped cavity with an inner cylindrical obstacle
This study investigates the heat augmentation and hydromagnetic flow of water-based
carbon nanotubes (CNTs) inside a partially heated rectangular fin-shaped cavity. A thin …
carbon nanotubes (CNTs) inside a partially heated rectangular fin-shaped cavity. A thin …
[HTML][HTML] The significance of radiative heat and mass transfer through a vertical sheet with chemical reaction: designing by artificial approach levenberg-marquardt
The present study examines the impact of incorporating soft computing algorithms during
neural network training on the evaluation and prediction performance of artificial neural …
neural network training on the evaluation and prediction performance of artificial neural …