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Institution

Islamic Azad University

EducationTehran, Iran
About: Islamic Azad University is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Population & Adsorption. The organization has 83635 authors who have published 113437 publications receiving 1275049 citations. The organization is also known as: Azad University.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the effects of Rayleigh number (103≤Ra≤106) and water, nanofluid, and hybrid nanoparticles as the working fluid on temperature fields and heat transfer performance of the enclosure are investigated.
Abstract: This paper numerically examines laminar natural convection in a sinusoidal corrugated enclosure with a discrete heat source on the bottom wall, filled by pure water, Al2O3/water nanofluid, and Al2O3-Cu/water hybrid nanofluid which is a new advanced nanofluid with two kinds of nanoparticle materials. The effects of Rayleigh number (103≤Ra≤106) and water, nanofluid, and hybrid nanofluid (in volume concentration of 0% ≤ ϕ ≤ 2%) as the working fluid on temperature fields and heat transfer performance of the enclosure are investigated. The finite volume discretization method is employed to solve the set of governing equations. The results indicate that for all Rayleigh numbers been studied, employing hybrid nanofluid improves the heat transfer rate compared to nanofluid and water, which results in a better cooling performance of the enclosure and lower temperature of the heated surface. The rate of this enhancement is considerably more at higher values of Ra and volume concentrations. Furthermore, by applying ...

343 citations

Journal ArticleDOI
TL;DR: In this article, a novel adsorbent, copper oxide nanoparticle loaded on activated carbon (CuO-NP-AC), was synthesized by a simple, low cost and efficient procedure.

343 citations

Journal ArticleDOI
TL;DR: In this article, two new correlations for predicting the thermal conductivity of studied hybrid nanofluids, in terms of solid concentration and temperature, are proposed that use an artificial neural network (ANN) and are based on experimental data.

341 citations

Journal ArticleDOI
TL;DR: In this article, different amounts of Al2O3 nanoparticle have been added into these base fluids and its effects on the heat transfer performance of the car radiator have been determined experimentally.

341 citations

Journal ArticleDOI
TL;DR: In this paper, the authors reviewed the most common two, three, four, and five parameter adsorption isotherm models corresponding to monolayer and multilayer adorption on the basis of parameters that can be used for exploring novel adsorbents.
Abstract: Industrial wastewater polluted with various contaminants, including heavy metals, dyes, etc., endangers human health and the environment. Various separation techniques have been developed for the removal of pollutants from aqueous solutions. Adsorption process has drawn considerable attention due to its simplicity of design, high removal efficiency, even at dilute concentration, and economical aspect. We reviewed the most common two, three, four, and five parameter adsorption isotherm models corresponding to monolayer and multilayer adsorption on the basis of parameters that can be used for exploring novel adsorbents. Thermodynamic assumptions of the models give information about the surface properties, capacity of the adsorbent and adsorption mechanism. Seven error functions were investigated to evaluate the fitness quality of isotherm models with the experimental equilibrium data.

341 citations


Authors

Showing all 83704 results

NameH-indexPapersCitations
Ajit Kumar Mohanty141112493062
Pierluigi Paolucci1381965105050
Eric Conte132120684593
Patrizia Azzi132127583686
D. Del Re131140687230
Jean-Laurent Agram128122184423
Seyed Mohsen Etesami128110176488
Jean-Charles Fontaine128119084011
Roberta Arcidiacono128132280917
Tejinder Virdee128120874372
Frank Hartmann127111681455
Paolo Azzurri126105881651
Achim Stahl1241248111121
Federica Primavera12087663895
Riccardo Andrea Manzoni12094667897
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202335
2022372
202111,539
202012,092
201911,011
201810,260