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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 article, a variational approach for the wave dispersion in anisotropic doubly-curved nanoshells is presented, which incorporates two scale coefficients to examine the wave characteristics much accurately.
Abstract: In this paper, a variational approach for the wave dispersion in anisotropic doubly-curved nanoshells is presented. To study the doubly-curved nanoshell as a continuum model, a new size-dependent higher-order shear deformation theory is introduced. In order to capture the small scale effects, nonlocal strain gradient elasticity theory has been implemented. The present model incorporates two scale coefficients to examine the wave characteristics much accurately. Based on Hamilton’s principle, the governing equations of the doubly-curved nanoshells are obtained. These equations are solved via analytical approach. From the best knowledge of authors, it is the first time that present formulation is used to investigate the wave dispersion in anisotropic doubly-curved nanoshells. Also, it is the first time that small scale effects are considered in doubly-curved nanoshells made of anisotropic materials. Unlike the classical (scaling-free) model, the presented nonlocal strain gradient higher-order model shows a good calibration with the experimental frequencies and phase velocities. It is demonstrated that the material properties, nonlocal-strain gradient parameters and wave number have remarkable influences on wave frequencies and phase velocities. Presented results for wave dispersion can serve as benchmarks for future analysis of doubly-curved nanoshells.

161 citations

Journal ArticleDOI
TL;DR: This paper aims to identify, compare systematically, and classify existing investigations taxonomically in the Healthcare IoT (HIoT) systems by reviewing 146 articles between 2015 and 2020, and presents a comprehensive taxonomy in the HIoT.

161 citations

Journal ArticleDOI
15 Dec 2014-Energy
TL;DR: In this article, the authors presented a new MOMICA (Multi-Objective Modified Imperialist Competitive Algorithm) for the multi-objective OPF (optimal power flow) problem which can be solved for minimum generation cost which satisfies the power balance equations and system constraints.

161 citations

Journal ArticleDOI
TL;DR: In this article, mixed flow of the non-Newtonian water/Al2O3 nanofluid with 0-4% nanoparticles volume fractions (φ) inside a two-dimensional square cavity with hot and cold lid-driven motion and porous media is simulated at Richardson numbers (Ri) of 0.01, 10 and 100 and Darcy numbers (Da) of 10−4
Abstract: In the present numerical study, mixed flow of the non-Newtonian water/Al2O3 nanofluid with 0–4% nanoparticles volume fractions (φ) inside a two-dimensional square cavity with hot and cold lid-driven motion and porous media is simulated at Richardson numbers (Ri) of 0.01, 10 and 100 and Darcy numbers (Da) of 10−4 ≤ Da ≤ 10−2 using Fortran computer code. The obtained results for temperature domain, velocity, Nusselt number and streamlines indicate that by increasing Richardson number and decreasing axial velocity parameter of walls and similarity of flow behavior to natural flow mechanism, variations of velocity are reduced, which is due to the reduction in fluid momentum. By increasing Darcy number, penetrability of fluid motion enhances and fluid lightly moves along the cavity. Figuration of streamlines at lower Richardson numbers highly depends on the Darcy number changes. In case (2), due to the counterflow motion and buoyancy force, distinction of flow domain profiles is more obvious. On the other hand, this issue causes more velocity gradients and vortexes in special sections of cavity (central regions of cavity). In case (2), the behavior of streamlines is affected by some parameters such as variations of Darcy number, nanoparticles volume fraction and Richardson number more than case (1). By increasing Darcy number, flow lightly passes among hot and cold sources and leads to improve the heat transfer. Moreover, reduction in flow penetrability in cavity results in the reduction in fluid flow in its direction, sectional distribution and regions with higher temperature. Consequently, in these regions the growth of thermal boundary layer is more significant. In case (2), at lower Richardson numbers compared to higher ones, the affectability of lid-driven motion contrary to buoyancy force caused by density variations is less because of higher fluid momentum. At Ri = 0.01, because of the strength of lid-driven motion, flow direction is compatible with lid-driven motion. Also, temperature distribution is not uniform, and in these regions, fluid has the minimum velocity which leads to the enhancement of dimensionless temperature. In both studied cases, the increment of nanoparticles volume fraction as well as Darcy number and reduction in Richardson number result in the improvement of temperature distribution and decrease in dimensionless temperature.

161 citations

Journal ArticleDOI
TL;DR: In this paper, the authors developed dissimilar artificial neural networks (ANNs) by suitable architectures and training algorithms via sensitivity analysis to predict the thermal conductivity MWCNT -TiO2/ Water-Ethylene glycol nanofluid.

160 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