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s. ali eftekhari
s. ali eftekhari
Department of Mechanical Engineering, Khomeinishahr Branch, Islamic Azad University
Verified email at iaukhsh.ac.ir - Homepage
Title
Cited by
Cited by
Year
Longitudinal vibration and instabilities of carbon nanotubes conveying fluid considering size effects of nanoflow and nanostructure
S Oveissi, SA Eftekhari, D Toghraie
Physica E: Low-dimensional Systems and Nanostructures 83, 164-173, 2016
1112016
Longitudinal vibration and stability analysis of carbon nanotubes conveying viscous fluid
S Oveissi, D Toghraie, SA Eftekhari
Physica E: Low-dimensional Systems and Nanostructures 83, 275-283, 2016
1072016
Using perceptron feed-forward Artificial Neural Network (ANN) for predicting the thermal conductivity of graphene oxide-Al2O3/water-ethylene glycol hybrid nanofluid
S Tian, NI Arshad, D Toghraie, SA Eftekhari, M Hekmatifar
Case Studies in Thermal Engineering 26, 101055, 2021
952021
Pull-in Instability Analysis of Rectangular Nanoplate based on Strain Gradient Theory Considering Surface Stress Effects
SA Mirkalantari, M Hashemian, SA Eftekhari, D Toghraie
Physica B: Condensed Matter 519, 1–14, 2017
482017
Thermo-hydraulic and economic optimization of Iranol refinery oil heat exchanger with Copper oxide nanoparticles using MOMBO
OA Daniali, D Toghraie, SA Eftekhari
Physica A: Statistical Mechanics and its Applications 540, 123010, 2020
452020
Optimal vibration control of multi-layer micro-beams actuated by piezoelectric layer based on modified couple stress and surface stress elasticity theories
M Khaje khabaz, SA Eftekhari, M Hashemian, D Toghraie
Physica A: Statistical Mechanics and its Applications, 2020
402020
Comprehensive study on hydrogen production via propane steam reforming inside a reactor
P Barnoon, D Toghraie, B Mehmandoust, MA Fazilati, SA Eftekhari
Energy Reports 7, 929-941, 2021
392021
A well-trained artificial neural network for predicting the rheological behavior of MWCNT–Al2O3 (30–70%)/oil SAE40 hybrid nanofluid
MH Esfe, SA Eftekhari, M Hekmatifar, D Toghraie
Scientific Reports 11 (1), 17696, 2021
352021
Spatial buckling analysis of current-carrying nanowires in the presence of a longitudinal magnetic field accounting for both surface and nonlocal effects
S Foroutan, A Haghshenas, M Hashemian, SA Eftekhari, D Toghraie
Physica E: low-dimensional systems and nanostructures 97, 191-205, 2018
352018
Pareto multi-objective optimization of tandem cold rolling settings for reductions and inter stand tensions using NSGA-II
Z Babajamali, F Aghadavoudi, F Farhatnia, SA Eftekhari, D Toghraie
ISA transactions 130, 399-408, 2022
322022
Molecular dynamics simulation of the phase transition process in the atomic scale for Ar/Cu nanofluid on the platinum plates
M Hekmatifar, D Toghraie, B Mehmandoust, F Aghadavoudi, SA Eftekhari
International Communications in Heat and Mass Transfer 117, 104798, 2020
322020
Using feed-forward perceptron Artificial Neural Network (ANN) model to determine the rolling force, power and slip of the tandem cold rolling
JS Xia, MK Khabaz, I Patra, I Khalid, JRN Alvarez, A Rahmanian, ...
ISA transactions 132, 353-363, 2023
312023
Free vibration analysis of rotating functionally graded GPL-reinforced truncated thick conical shells under different boundary conditions
H Amirabadi, F Farhatnia, SA Eftekhari, R Hosseini-Ara
Mechanics Based Design of Structures and Machines 50 (11), 3821-3852, 2022
312022
Natural-forced cooling and Monte-Carlo multi-objective optimization of mechanical and thermal characteristics of a bipolar plate for use in a proton exchange membrane fuel cell
P Barnoon, D Toghraie, B Mehmandoust, MA Fazilati, SA Eftekhari
Energy Reports 8, 2747-2761, 2022
272022
Vibration and dynamic analysis of a cantilever sandwich microbeam integrated with piezoelectric layers based on strain gradient theory and surface effects
SA Eftekhari, D Toghraie
Applied Mathematics and Computation 419, 126867, 2022
272022
Multi-objective optimization of residual stresses and distortion in submerged arc welding process using Genetic Algorithm and Harmony Search
N Ansaripour, A Heidari, SA Eftekhari
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2020
252020
A well-trained artificial neural network (ANN) using the trainlm algorithm for predicting the rheological behavior of water–Ethylene glycol/WO3–MWCNTs nanofluid
G Fan, AS El-Shafay, SA Eftekhari, M Hekmatifar, D Toghraie, ...
International Communications in Heat and Mass Transfer 131, 105857, 2022
222022
Analysis of transverse vibrational response and instabilities of axially moving CNT conveying fluid
S Oveissi, DS Toghraie, SA Eftekhari
International Journal of Fluid Mechanics Research 44 (2), 2017
222017
Investigation of mechanical properties of epoxy-containing Detda and Degba and graphene oxide nanosheet using molecular dynamics simulation
A Yarahmadi, M Hashemian, D Toghraie, R Abedinzadeh, SA Eftekhari
Journal of Molecular Liquids 347, 118392, 2022
212022
Investigation on the effect of axially moving carbon nanotube, nanoflow, and Knudsen number on the vibrational behavior of the system
S Oveissi, DS Toghraie, SA Eftekhari
International Journal of Fluid Mechanics Research 45 (2), 2018
212018
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