S. A. Eftekhari

发表

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

D. Toghraie, Pouya Barnoon, B. Mehmandoust, 2022, Energy Reports.

Pareto multi-objective optimization of tandem cold rolling settings for reductions and inter stand tensions using NSGA-II.

Mohamad Khaje Khabaz, D. Toghraie, S. A. Eftekhari, 2022, ISA transactions.

Comprehensive study on hydrogen production via propane steam reforming inside a reactor

D. Toghraie, Pouya Barnoon, B. Mehmandoust, 2021 .

Numerical modeling of species transport and functional characteristics of a proton exchange membrane fuel cell using an agglomerate model with a multi-phase model

D. Toghraie, Pouya Barnoon, B. Mehmandoust, 2022, Energy Reports.

Mechanical and thermal stability of armchair and zig-zag carbon sheets using classical MD simulation with Tersoff potential

D. Toghraie, S. A. Eftekhari, Roozbeh Sabetvand, 2021 .

Designing the best ANN topology for predicting the dynamic viscosity and rheological behavior of MWCNT-CuO (30:70)/ SAE 50 nano-lubricant

D. Toghraie, M. Hajian, M. H. Esfe, 2022, Colloids and Surfaces A: Physicochemical and Engineering Aspects.

A well-trained feed-forward perceptron Artificial Neural Network (ANN) for prediction the dynamic viscosity of Al2O3–MWCNT (40:60)-Oil SAE50 hybrid nano-lubricant at different volume fraction of nanoparticles, temperatures, and shear rates

S. M. Alizadeh, D. Toghraie, S. A. Eftekhari, 2021, International Communications in Heat and Mass Transfer.

A well-trained artificial neural network for predicting the rheological behavior of MWCNT–Al2O3 (30–70%)/oil SAE40 hybrid nanofluid

D. Toghraie, M. H. Esfe, S. A. Eftekhari, 2021, Scientific Reports.

Using perceptron feed-forward Artificial Neural Network (ANN) for predicting the thermal conductivity of graphene oxide-Al2O3/water-ethylene glycol hybrid nanofluid

D. Toghraie, N. Arshad, S. A. Eftekhari, 2021 .

An Optimization on the DIN1.2080 Alloy in the Electrical Discharge Machining Process Using ANN and GA

Amin Kolahdooz, Masoud Azimi, S. A. Eftekhari, 2017 .

The effect of electrical discharge machining parameters on alloy DIN 1.2080 using the Taguchi method and determinant of optimal design of experiments

S. A. Eftekhari, A. Kolahdooz, P. Sadr, 2017 .

Longitudinal vibration and stability analysis of carbon nanotubes conveying viscous fluid

Davood Toghraie, S. A. Eftekhari, D. Toghraie, 2016 .

Supersonic flutter and free vibration features of functionally graded material nanobeams incorporating surface effects

D. Toghraie, S. A. Eftekhari, M. Hashemian, 2023, Waves in Random and Complex Media.

Numerical investigation of rigidity and flexibility parameters effect on superstructure foundation behavior using three-dimensional finite element method

D. Toghraie, A. Eslami, S. A. Hejazi, 2023, Case Studies in Construction Materials.

Using feed-forward perceptron Artificial Neural Network (ANN) model to determine the rolling force, power and slip of the tandem cold rolling.

D. Toghraie, S. A. Eftekhari, Indrajit Patra, 2022, ISA transactions.

Molecular dynamics simulation of condensation phenomenon of nanofluid on different roughness surfaces in the presence of hydrophilic and hydrophobic structures

D. Toghraie, B. Mehmandoust, S. A. Eftekhari, 2021, Journal of Molecular Liquids.

Investigation of Best Artificial Neural Network Topology to Model the Dynamic Viscosity of MWCNT-ZnO/SAE 5W30 Nano-lubricant

D. Toghraie, M. H. Esfe, S. A. Eftekhari, 2023, Materials Today Communications.

A well-trained artificial neural network (ANN) using the trainlm algorithm for predicting the rheological behavior of water – Ethylene glycol/WO3 – MWCNTs nanofluid

D. Toghraie, S. A. Eftekhari, Afrasyab Khan, 2022, International Communications in Heat and Mass Transfer.

Study on the Friction Stir Extrusion Process of AA1050 Aluminum Alloy Wires Using Numerical Modelling and Taguchi Method

A. Heidari, S. A. Eftekhari, R. Abedinzadeh, 2022, JOM.

Obtaining an accurate prediction model for viscosity of a new nano-lubricant containing multi-walled carbon Nanotube-Titanium dioxide nanoparticles with oil SAE50

Mohamad Khaje Khabaz, S. Salahshour, S. A. Eftekhari, 2023, Tribology International.

Investigation of the mechanical characteristics and thermal behavior of a polymer matrix by addition of different graphene oxide nanosheets: A molecular dynamics simulation

S. A. Eftekhari, M. Hashemian, R. Abedinzadeh, 2024, Journal of Physics and Chemistry of Solids.

Statistical analysis and Neural Network Modeling of functionally graded porous nanobeams vibration in an elastic medium by considering the surface effects

D. Toghraie, S. A. Eftekhari, M. Hashemian, 2023, Eng. Appl. Artif. Intell..