M. Hemmat Esfe

发表

Optimization of MWCNTs (10%) – Al2O3 (90%)/5W50 nanofluid viscosity using experimental data and artificial neural network

Masoud Afrand, Saeed Esfandeh, Mohammad Hemmat Esfe, 2018, Physica A: Statistical Mechanics and its Applications.

A review on fuel cell types and the application of nanofluid in their cooling

M. Afrand, M. Hemmat Esfe, 2019, Journal of Thermal Analysis and Calorimetry.

Proposing new hybrid nano-engine oil for lubrication of internal combustion engines: Preventing cold start engine damages and saving energy

M. Afrand, M. Hemmat Esfe, S. Esfandeh, 2019, Energy.

Investigating the Behavior of SiO2 (90%)-MWCNT (10%)/SAE50 Hybrid Nanofluid and Modeling its Viscosity

M. Hemmat Esfe, S. Saedodin, 2021, Arabian Journal for Science and Engineering.

Employing response surface methodology and neural network to accurately model thermal conductivity of TiO2–water nanofluid using experimental data

Mehdi Bahiraei, M. Hemmat Esfe, M. H. Esfe, 2021, Chinese Journal of Physics.

Thermal conductivity of Al2O3/water nanofluids

O. Mahian, S. Wongwises, M. Hemmat Esfe, 2014, Journal of Thermal Analysis and Calorimetry.

Optimizing thermophysical properties of nanofluids using response surface methodology and particle swarm optimization in a non-dominated sorting genetic algorithm

Mehdi Bahiraei, M. Hemmat Esfe, Mahmoud Kiannejad Amiri, 2019, Journal of the Taiwan Institute of Chemical Engineers.

Using radial basis function network to model the heat transfer and pressure drop of water based nanofluids containing MgO nanoparticles

D. Toghraie, M. Hemmat Esfe, M. H. Esfe, 2021, Case Studies in Thermal Engineering.

Thermal conductivity modeling of MgO/EG nanofluids using experimental data and artificial neural network

Somchai Wongwises, Davood Toghraie, Omid Mahian, 2014, Journal of Thermal Analysis and Calorimetry.

Designing artificial neural network on thermal conductivity of Al2O3–water–EG (60–40 %) nanofluid using experimental data

Davood Toghraie, Hossein Tourang, Mohammad Hadi Hajmohammad, 2016, Journal of Thermal Analysis and Calorimetry.

Designing an artificial neural network using radial basis function (RBF-ANN) to model thermal conductivity of ethylene glycol–water-based TiO2 nanofluids

M. Hemmat Esfe, 2016, Journal of Thermal Analysis and Calorimetry.

Application of conventional and hybrid nanofluids in different machining processes: A critical review.

Mehdi Bahiraei, M. Hemmat Esfe, A. Mir, 2020, Advances in colloid and interface science.

Application of nanofluids and fluids in photovoltaic thermal system: An updated review

M. Hemmat Esfe, M. Kamyab, Majid Valadkhani, 2020 .

Proposing a nano-approach to modify viscosity behavior of SAE 5W50 as light road vehicles lubricant

M. Hemmat Esfe, S. Esfandeh, Hossein Rostamian, 2019, Journal of Thermal Analysis and Calorimetry.

Flooding numerical simulation of heterogeneous oil reservoir using different nanoscale colloidal solutions

M. Hemmat Esfe, S. Esfandeh, M. H. Esfe, 2020 .

Nanofluid flooding for enhanced oil recovery in a heterogeneous two-dimensional anticline geometry

M. Hemmat Esfe, S. Esfandeh, M. H. Esfe, 2020 .

Mixed convection in a lid-driven cavity with an inside hot obstacle filled by an Al2O3–water nanofluid

M. Hemmat Esfe, A. Karimipour, M. Akbari, 2015 .

Prediction and optimization of thermophysical properties of stabilized Al 2 O 3 /antifreeze nanofluids using response surface methodology

M. Afrand, M. Hemmat Esfe, M. Firouzi, 2018, Journal of Molecular Liquids.

Optimization of Viscosity in MWCNT-MgO (35–65%)/5W50 Nanofluid and Comparison of Experimental Results with the Designed ANN

M. Hemmat Esfe, M. Kamyab, 2020 .

Experimental investigation of effective parameters on MWCNT–TiO2/SAE50 hybrid nanofluid viscosity

M. Hemmat Esfe, Mahmoud Kiannejad Amiri, M. R. Sarmasti Emami, 2019, Journal of Thermal Analysis and Calorimetry.

Modeling and prediction of rheological behavior of Al2O3-MWCNT/5W50 hybrid nano-lubricant by artificial neural network using experimental data

M. Afrand, M. Hemmat Esfe, S. Esfandeh, 2018, Physica A: Statistical Mechanics and its Applications.

Prediction of rheological behavior of SiO2-MWCNTs/10W40 hybrid nanolubricant by designing neural network

M. Afrand, A. Ahmadi Nadooshan, M. Hemmat Esfe, 2018, Journal of Thermal Analysis and Calorimetry.

Viscosity and rheological properties of antifreeze based nanofluid containing hybrid nano-powders of MWCNTs and TiO2 under different temperature conditions

M. Afrand, M. Hemmat Esfe, M. R. Sarmasti Emami, 2019, Powder Technology.

Investigation of the effects of various parameters on the natural convection of nanofluids in various cavities exposed to magnetic fields: a comprehensive review

M. Afrand, M. Hemmat Esfe, S. Esfandeh, 2019, Journal of Thermal Analysis and Calorimetry.

Investigation on nanofluid flooding effect on enhancement oil recovery process in a random pore distribution incomplete cone

M. Hemmat Esfe, M. H. Esfe, M. Mosaferi, 2020 .

Mathematical and artificial brain structure-based modeling of heat conductivity of water based nanofluid enriched by double wall carbon nanotubes

M. Afrand, M. Hemmat Esfe, M. H. Esfe, 2020 .

Rheological behavior of CuO/EG:W (20:80 v/v) nanofluid from a thermal perspective

M. Hemmat Esfe, S. Esfandeh, 2018, Journal of Thermal Analysis and Calorimetry.

A critical review on pulsating flow in conventional fluids and nanofluids: Thermo-hydraulic characteristics

Mehdi Bahiraei, M. Hemmat Esfe, M. H. Esfe, 2021 .

A comprehensive review on convective heat transfer of nanofluids in porous media: Energy-related and thermohydraulic characteristics

Mehdi Bahiraei, M. Hemmat Esfe, M. H. Esfe, 2020 .

Numerical investigation of wind velocity effects on evaporation rate of passive single-slope solar stills in Khuzestan province in Iran

D. Toghraie, M. Hemmat Esfe, 2022, Alexandria Engineering Journal.

Statistical and Intelligent Analysis of Viscosity behavior of MgO-MWCNT (25–75%)/10W40 Hybrid Nanolubricant Using Artificial Neural Network Modeling and Response Surface Methodology

M. Hemmat Esfe, S. Esfandeh, M. Goodarzi, 2021, Arabian Journal for Science and Engineering.

An experimental determination and accurate prediction of dynamic viscosity of MWCNT(%40)-SiO2(%60)/5W50 nano-lubricant

M. Hemmat Esfe, A. A. Abbasian Arani, 2018, Journal of Molecular Liquids.

A novel experimental investigation on the effect of nanoparticles composition on the rheological behavior of nano-hybrids

M. Hemmat Esfe, S. Esfandeh, M. H. Esfe, 2017, Journal of Molecular Liquids.

Four objective optimization of aluminum nanoparticles/oil, focusing on thermo-physical properties optimization

M. Hemmat Esfe, Sayyid Majid Motallebi, 2019, Powder Technology.

Influence of different parameters on the rheological behavior MWCNT (30%)-TiO2 (70%) / SAE50 hybrid nano-lubricant using of Response Surface Methodology and Artificial Neural Network methods

D. Toghraie, M. Hemmat Esfe, Saeed Esfande, 2022, Arabian Journal of Chemistry.

The statistical investigation of multi-grade oil based nanofluids: Enriched by MWCNT and ZnO nanoparticles

M. Hemmat Esfe, S. Esfandeh, M. H. Esfe, 2020 .

3D numerical simulation of the enhanced oil recovery process using nanoscale colloidal solution flooding

M. Hemmat Esfe, S. Esfandeh, M. H. Esfe, 2020 .

Proposing a modified engine oil to reduce cold engine start damages and increase safety in high temperature operating conditions

M. Hemmat Esfe, S. Esfandeh, A. A. Abbasian Arani, 2019, Powder Technology.

Viscosity analysis of enriched SAE50 by nanoparticles as lubricant of heavy-duty engines

M. Hemmat Esfe, M. Kamyab, 2019, Journal of Thermal Analysis and Calorimetry.

Effect of suspending optimized ratio of nano-additives MWCNT-Al2O3 on viscosity behavior of 5W50

M. Hemmat Esfe, M. H. Esfe, Amir Taghavi Khalil Abad, 2019, Journal of Molecular Liquids.

Using artificial neural network for investigating of concurrent effects of multi-walled carbon nanotubes and alumina nanoparticles on the viscosity of 10W-40 engine oil

M. Afrand, M. Hemmat Esfe, M. H. Esfe, 2018, Physica A: Statistical Mechanics and its Applications.

Improving engine oil lubrication in light-duty vehicles by using of dispersing MWCNT and ZnO nanoparticles in 5W50 as viscosity index improvers (VII)

M. Hemmat Esfe, S. Esfandeh, M. H. Esfe, 2018, Applied Thermal Engineering.

Cascade forward Artificial Neural Network to estimate thermal conductivity of functionalized graphene-water nanofluids

D. Toghraie, M. Hemmat Esfe, M. H. Esfe, 2021, Case Studies in Thermal Engineering.

Feasibility study of using MWCNT-TiO2 (25:75) in 5W50 as an optimizer for engine oils with the aim of reduce the cold start damages

D. Toghraie, M. Hemmat Esfe, S. Esfandeh, 2021, International Communications in Heat and Mass Transfer.

Study of rheological behavior of a hybrid nano-lubricant (MWCNT/Al2O3 (20:80)-SAE40) using two-way laboratory method and response surface methodology

D. Toghraie, M. Hemmat Esfe, S. Alidoust, 2022, Arabian Journal of Chemistry.

Modeling of thermal conductivity of MWCNT-SiO2 (30:70%)/EG hybrid nanofluid, sensitivity analyzing and cost performance for industrial applications

M. Hemmat Esfe, S. Esfandeh, Mousa Rejvani, 2018, Journal of Thermal Analysis and Calorimetry.

An experimental study on the effect of diameter on thermal conductivity and dynamic viscosity of Fe/water nanofluids

Somchai Wongwises, Davood Toghraie, Seyfolah Saedodin, 2015, Journal of Thermal Analysis and Calorimetry.

Study of MWCNT (40 %) – CuO (60 %)/10W40 hybrid nanofluid for improving laboratory oil performance by laboratory method and statistical response surface methodology

D. Toghraie, M. Hemmat Esfe, M. Kamyab, 2022, Alexandria Engineering Journal.

Erratum to: Study on thermal conductivity of water-based nanofluids with hybrid suspensions of CNTs/Al2O3 nanoparticles

Wei-Mon Yan, Seyfolah Saedodin, Nima Sina, 2016, Journal of Thermal Analysis and Calorimetry.

Experimental study and rheological behavior of engine oil enriched with MWCNT and ZnO nanoparticles: Proposing a new relationship and sensitivity analysis

D. Toghraie, M. Hemmat Esfe, S. Motallebi, 2022, Materials Science and Engineering: B.

Thermal conductivity and viscosity of Mg(OH)2-ethylene glycol nanofluids

Arash Karimipour, Amin Asadi, Seyfolah Saedodin, 2015, Journal of Thermal Analysis and Calorimetry.

Thermal conductivity enhancement of SiO2–MWCNT (85:15 %)–EG hybrid nanofluids

M. Hemmat Esfe, M. Sarlak, A. A. Arani, 2017, Journal of Thermal Analysis and Calorimetry.

Evaluation of Mixed Convection in Inclined Square Lid-Driven Cavity Filled with AL2O3/Water Nano-Fluid

M. Hemmat Esfe, A. Fereidoon, S. Saedodin, 2013 .

Theoretical -Experimental study of factors affecting the thermal conductivity of SWCNT-CuO (25:75)/water nanofluid and its challenging comparison with CuO nanofluids/water aiming to improve the base fluid thermal conductivity

D. Toghraie, M. Hemmat Esfe, S. Esfandeh, 2023, Arabian Journal of Chemistry.

A novel experimental and statistical study on ethylene glycol-based nanofluid enriched by MWCNT and CuO nanoparticles

D. Toghraie, M. Hemmat Esfe, Sayyid Majid Motallebi, 2022, Annals of Nuclear Energy.

An optimal feed-forward artificial neural network model and a new empirical correlation for prediction of the relative viscosity of Al2O3-engine oil nanofluid

D. Toghraie, M. Hemmat Esfe, 2021, Scientific Reports.

A 3D numerical study on natural convection flow of nanofluid inside a cubical cavity equipped with porous fins using two-phase mixture model

M. Hemmat Esfe, Ramtin Barzegarian, M. Bahiraei, 2020, Advanced Powder Technology.

Experimental study for developing an accurate model to predict viscosity of CuO–ethylene glycol nanofluid using genetic algorithm based neural network

Omid Mahian, Mehdi Bahiraei, Mohammad Hemmat Esfe, 2018, Powder Technology.

Preliminary feasibility study on using a nano-composition in enhanced oil recovery process: neural network modeling

Seyfolah Saedodin, Mehdi Bahiraei, Mohammad Hemmat Esfe, 2021, Neural Computing and Applications.

Modeling and estimation of thermal performance factor of MgO-water nanofluids flow by artificial neural network based on experimental data

D. Toghraie, M. Hemmat Esfe, Mousa Rejvani, 2021, Case Studies in Thermal Engineering.

Statistical and Intelligent Analysis of Viscosity behavior of MgO-MWCNT (25–75%)/10W40 Hybrid Nanolubricant Using Artificial Neural Network Modeling and Response Surface Methodology

M. Hemmat Esfe, S. Esfandeh, M. Goodarzi, 2021, Arabian Journal for Science and Engineering.

Predicting thermophysical properties and flow characteristics of nanofluids using intelligent methods: focusing on ANN methods

Mohammad Hemmat Esfe, Masoud Afrand, M. Afrand, 2019, Journal of Thermal Analysis and Calorimetry.

Evaluation of MWCNTs-ZnO/5W50 nanolubricant by design of an artificial neural network for predicting viscosity and its optimization

Masoud Afrand, Mohammad Hemmat Esfe, M. Afrand, 2019, Journal of Molecular Liquids.

Optimization of thermophysical properties of Al2O3/water-EG (80:20) nanofluids by NSGA-II

M. Afrand, M. Hemmat Esfe, Nima Sina, 2018, Physica E: Low-dimensional Systems and Nanostructures.

A two-phase simulation for investigating natural convection characteristics of nanofluid inside a perturbed enclosure filled with porous medium

M. Hemmat Esfe, S. Esfandeh, M. Bahiraei, 2020, Engineering with Computers.

Evaluation of thermal conductivity of COOH-functionalized MWCNTs/water via temperature and solid volume fraction by using experimental data and ANN methods

Ali Naderi, Arash Karimipour, Masoud Afrand, 2015, Journal of Thermal Analysis and Calorimetry.

Optimal viscosity modelling of 10W40 oil-based MWCNT (40%)-TiO2 (60%) nanofluid using Response Surface Methodology (RSM)

D. Toghraie, M. Hemmat Esfe, Sayyid Majid Motallebi, 2022, Heliyon.

Thermophysical optimization of ND/PG-water nanofluids by NSGA-II coupled with RSM and ANN

M. Hemmat Esfe, 2021, The European Physical Journal Plus.

Prediction the dynamic viscosity of MWCNT-Al2O3 (30:70)/ Oil 5W50 hybrid nano-lubricant using Principal Component Analysis (PCA) with Artificial Neural Network (ANN)

D. Toghraie, M. Hajian, M. Hemmat Esfe, 2022, Egyptian Informatics Journal.

Effect of capillary pressure parameter and volume fraction of nanoparticles on EOR process in a 3D geometry

M. Hemmat Esfe, S. Esfandeh, 2022, International Communications in Heat and Mass Transfer.

Using artificial neural network to predict thermal conductivity of ethylene glycol with alumina nanoparticle

D. Toghraie, M. Hemmat Esfe, H. Rostamian, 2016, Journal of Thermal Analysis and Calorimetry.

Mixed convection inside lid-driven cavities filled with nanofluids

M. Hemmat Esfe, S. Saedodin, H. Rostamian, 2018, Journal of Thermal Analysis and Calorimetry.

Insight into the Rheological Behavior of Hybrid Zinc Oxide and MWCNT Nanoparticles Dispersed in 10W40 Engine Oil: Experimental Study

M. Hemmat Esfe, M. Mollamahdi, 2021, Arabian Journal for Science and Engineering.

Insight into the Rheological Behavior of Hybrid Zinc Oxide and MWCNT Nanoparticles Dispersed in 10W40 Engine Oil: Experimental Study

M. Hemmat Esfe, M. Mollamahdi, 2021, Arabian Journal for Science and Engineering.

Experimental Study of Rheological Behavior of MWCNT-Al2O3/SAE50 Hybrid Nanofluid to Provide the Best Nano-lubrication Conditions

D. Toghraie, M. Hemmat Esfe, M. Kamyab, 2022, Nanoscale Research Letters.

An experimental report and new correlation for estimating the dynamic viscosity of MWCNT(50)-ZnO(50)/SAE 50 as nano-lubricant

M. Hemmat Esfe, 2020, Journal of Thermal Analysis and Calorimetry.

A new generation of hybrid-nanofluid: thermal properties enriched lubricant fluids with controlled viscosity amount

M. Hemmat Esfe, S. Esfandeh, 2020, SN Applied Sciences.

Experimental study of rheological behavior of MWCNT (50%)-MgO (50%)/SAE40 hybrid nanofluid: Dynamic viscosity optimization and numerical simulation of turbulent flow

D. Toghraie, M. Hemmat Esfe, Erfan Mohammadnejad Ardeshiri, 2023, Annals of Nuclear Energy.

Using a two-phase method for numerical natural convection simulation in a cavity containing multiwalled carbon nanotube/water

M. Hemmat Esfe, 2020, Journal of Thermal Analysis and Calorimetry.

Optimization, modeling, and prediction of relative viscosity and relative thermal conductivity of AlN nano-powders suspended in EG

M. Hemmat Esfe, Sayyid Majid Motallebi, 2021 .

Optimization, modeling, and prediction of relative viscosity and relative thermal conductivity of AlN nano-powders suspended in EG

M. Hemmat Esfe, Sayyid Majid Motallebi, 2021, The European Physical Journal Plus.

Study on thermal conductivity of water-based nanofluids with hybrid suspensions of CNTs/Al2O3 nanoparticles

Wei-Mon Yan, Seyfolah Saedodin, Nima Sina, 2015, Journal of Thermal Analysis and Calorimetry.

Thermal conductivity of a hybrid nanofluid

M. Hemmat Esfe, Ali Alirezaie, Mahmoud Kiannejad Amiri, 2018, Journal of Thermal Analysis and Calorimetry.

ANN modeling, cost performance and sensitivity analyzing of thermal conductivity of DWCNT–SiO2/EG hybrid nanofluid for higher heat transfer

M. Hemmat Esfe, A. A. Abbasian Arani, Mousa Rejvani, 2018, Journal of Thermal Analysis and Calorimetry.

Turbulent forced convection heat transfer and thermophysical properties of Mgo–water nanofluid with consideration of different nanoparticles diameter, an empirical study

M. Hemmat Esfe, S. Saedodin, 2015, Journal of Thermal Analysis and Calorimetry.

Optimization of Viscosity in MWCNT-MgO (35–65%)/5W50 Nanofluid and Comparison of Experimental Results with the Designed ANN

M. Hemmat Esfe, M. Kamyab, 2020, The Arabian journal for science and engineering.

On the evaluation of the dynamic viscosity of non-Newtonian oil based nanofluids

M. Hemmat Esfe, 2017, Journal of Thermal Analysis and Calorimetry.

Experimental investigation of thermo-physical properties of MgO-MWCNT (75–25%)/10W40 as a new nano-lubricant

M. Hemmat Esfe, S. Esfandeh, M. Goodarzi, 2021, The European Physical Journal Plus.

Optimization of accuracy in estimating the dynamic viscosity of MWCNT-CuO/oil 10W40 nano-lubricants

D. Toghraie, M. Hemmat Esfe, Fatemeh Amoozadkhalili, 2022, Egyptian Informatics Journal.

Experimental study and modeling the SiO2-MWCNT (30:70)/SAE40 hybrid nano-lubricant flow based on the response surface method to identify the optimal lubrication conditions

D. Toghraie, M. Hemmat Esfe, S. Saedodin, 2022, International Communications in Heat and Mass Transfer.

Modeling and Precise Prediction of Thermophysical Attributes of Water/EG Blend-Based CNT Nanofluids by NSGA-II Using ANN and RSM

M. Hemmat Esfe, S. Alidoust, 2020, Arabian Journal for Science and Engineering.

Mixed convection in a lid-driven cavity with an inside hot obstacle filled by an Al2O3–water nanofluid

M. Hemmat Esfe, A. Karimipour, M. Akbari, 2015, Journal of Applied Mechanics and Technical Physics.