Experimental study on thermal conductivity of water-based Fe3O4 nanofluid: development of a new correlation and modeled by artificial neural network M Afrand, D Toghraie, N Sina International Communications in Heat and Mass Transfer 75, 262-269, 2016 | 284 | 2016 |
Evaluation of thermal conductivity of MgO-MWCNTs/EG hybrid nanofluids based on experimental data by selecting optimal artificial neural networks M Vafaei, M Afrand, N Sina, R Kalbasi, F Sourani, H Teimouri Physica E: Low-dimensional Systems and Nanostructures 85, 90-96, 2017 | 236 | 2017 |
Designing an artificial neural network to predict thermal conductivity and dynamic viscosity of ferromagnetic nanofluid MH Esfe, S Saedodin, N Sina, M Afrand, S Rostami International Communications in Heat and Mass Transfer 68, 50-57, 2015 | 215 | 2015 |
Study on thermal conductivity of water-based nanofluids with hybrid suspensions of CNTs/Al2O3 nanoparticles M Hemmat Esfe, S Saedodin, WM Yan, M Afrand, N Sina Journal of Thermal Analysis and Calorimetry 124, 455-460, 2016 | 194 | 2016 |
Developing dissimilar artificial neural networks (ANNs) to prediction the thermal conductivity of MWCNT-TiO2/Water-ethylene glycol hybrid nanofluid A Akhgar, D Toghraie, N Sina, M Afrand Powder Technology 355, 602-610, 2019 | 188 | 2019 |
Prediction of dynamic viscosity of a hybrid nano-lubricant by an optimal artificial neural network M Afrand, KN Najafabadi, N Sina, MR Safaei, AS Kherbeet, S Wongwises, ... International Communications in Heat and Mass Transfer 76, 209-214, 2016 | 176 | 2016 |
Measurement of the thermal conductivity of MWCNT-CuO/water hybrid nanofluid using artificial neural networks (ANNs) S Rostami, D Toghraie, B Shabani, N Sina, P Barnoon Journal of Thermal Analysis and Calorimetry 143 (2), 1097-1105, 2021 | 166 | 2021 |
An experimental study on thermal conductivity of MgO nanoparticles suspended in a binary mixture of water and ethylene glycol MH Esfe, M Afrand, A Karimipour, WM Yan, N Sina International Communications in Heat and Mass Transfer 67, 173-175, 2015 | 156 | 2015 |
Designing an Artificial Neural Network (ANN) to predict the viscosity of Silver/Ethylene glycol nanofluid at different temperatures and volume fraction of nanoparticles D Toghraie, N Sina, NA Jolfaei, M Hajian, M Afrand Physica A: Statistical Mechanics and its Applications 534, 122142, 2019 | 153 | 2019 |
Predict the thermal conductivity of SiO2/water–ethylene glycol (50:50) hybrid nanofluid using artificial neural network S Rostami, D Toghraie, MA Esfahani, M Hekmatifar, N Sina Journal of Thermal Analysis and Calorimetry 143 (2), 1119-1128, 2021 | 127* | 2021 |
Effect of magnetic field on free convection in inclined cylindrical annulus containing molten potassium M Afrand, N Sina, H Teimouri, A Mazaheri, MR Safaei, MH Esfe, J Kamali, ... International Journal of Applied Mechanics 7 (04), 1550052, 2015 | 98 | 2015 |
Statistical modeling and investigation of thermal characteristics of a new nanofluid containing cerium oxide powder B Ruhani, MT Andani, AM Abed, N Sina, GF Smaisim, SK Hadrawi, ... Heliyon 8 (11), 2022 | 84 | 2022 |
Optimization of fatigue life of pearlitic Grade 900A steel based on the combination of genetic algorithm and artificial neural network RM Nejad, N Sina, W Ma, Z Liu, F Berto, A Gholami International Journal of Fatigue 162, 106975, 2022 | 38 | 2022 |
Prediction of rheological behavior of MWCNTs–SiO2/EG–water non-Newtonian hybrid nanofluid by designing new correlations and optimal artificial neural networks H Eshgarf, N Sina, MH Esfe, F Izadi, M Afrand Journal of Thermal Analysis and Calorimetry 132, 1029-1038, 2018 | 38 | 2018 |
Simulation and validation of optimized pid controller in agv (automated guided vehicles) model using pso and bas algorithms AJ Moshayedi, J Li, N Sina, X Chen, L Liao, M Gheisari, X Xie Computational Intelligence and Neuroscience 2022 (1), 7799654, 2022 | 36 | 2022 |
Natural convection of liquid metal in a horizontal cylindrical annulus under radial magnetic field H Teimouri, M Afrand, N Sina, A Karimipour, AHM Isfahani International Journal of Applied Electromagnetics and Mechanics 49 (4), 453-461, 2015 | 30 | 2015 |
Artificial neural network based fatigue life assessment of friction stir welding AA2024-T351 aluminum alloy and multi-objective optimization of welding parameters RM Nejad, N Sina, DG Moghadam, R Branco, W Macek, F Berto International Journal of Fatigue 160, 106840, 2022 | 28 | 2022 |
Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of engine oil–based nanofluids containing tungsten oxide-MWCNTs F Soltani, M Hajian, D Toghraie, A Gheisari, N Sina, A Alizadeh Case Studies in Thermal Engineering 26, 101122, 2021 | 24 | 2021 |
Addition of MWCNT-Al2O3 nanopowders to water-ethylene glycol (EG) base fluid for enhancing the thermal characteristics: design an optimum feed-forward neural network S Fuxi, S Hamedi, M Hajian, D Toghraie, A Alizadeh, M Hekmatifar, ... Case Studies in Thermal Engineering 27, 101293, 2021 | 22 | 2021 |
Prediction of dynamic viscosity of a new non-Newtonian hybrid nanofluid using experimental and artificial neural network (ANN) methods DS Toghraie, N Sina, M Mozafarifard, A Alizadeh, F Soltani, MA Fazilati Heat Transfer Research 51 (15), 2020 | 22 | 2020 |