hossin rostamian

Scopus Publications

Numerical study of heat transfer of U-shaped enclosure containing nanofluids in a porous medium using two-phase mixture method
Mohammad Hemmat Esfe, Hossein Rostamian, Davood Toghraie, Maboud Hekmatifar, Amir Taghavi Khalil Abad
Case Studies in Thermal Engineering, 2022
The free convection in a porous U-shaped shield containing Al2O3/H2O nanofluid (NF) was examined using the two-phase (tp) mixture method. The results showed that the heat transfer (HT) rate and average Nusselt number (Nuavg) were amended by increasing the volume fraction (φ) of Al2O3 nanoparticles (NPs). An enhancement in Rayleigh number (Ra number) led to the turbulence of the NF flow; therefore, the Nuavg enhanced. Moreover, adding Al2O3 NPs to the base fluid (water) enhanced the fluid conductivity, resulting in the increase of Nuavg In this study, the results of the tp method were compared with the single-phase (sp) metrhod. It was concluded that the single-phase method is described the effects of the NPs appropriately, but it could not correctly represent the performance of NP. The buoyancy force was weak at a low Ra numbers (such as Ra = 1000). Therefore, the arrangement of isotherms is remained unchanged. However, in large quantities such as Ra = 100000, the buoyancy force is increased; so, the uniform order and arrangement of the isotherms are disturbed.
Prediction the dynamic viscosity of MWCNT-Al2O3 (30:70)/ Oil 5W50 hybrid nano-lubricant using Principal Component Analysis (PCA) with Artificial Neural Network (ANN)
Mohammad Hemmat Esfe, Mehdi Hajian, Davood Toghraie, Mohamad Khaje khabaz, Alireza Rahmanian, Mostafa Pirmoradian, Hossein Rostamian
Egyptian Informatics Journal, 2022
In this study, the prediction of dynamic viscosity (µnf) of MWCNT-Al2O3 (30:70)/ Oil 5W50 hybrid nano-lubricant using Artificial Neural Network (ANN) is performed. The objective of the present research is to investigate the effect of temperature and solid volume fraction (SVF) to predict the shear rates (SR) and µnf using ANN. The feed-forward ANN consists of a multilayer perceptron network (MLP), which is capable of predicting µnf in connection with experimental data of temperature, SR and SVF. Sensitivity analysis is used to evaluate the importance and role of temperature, SR, and SVF in experimental µnf variations. ANN is generated and tested with experimental data sets and the results show that there was a good agreement between the actual and predicted ANN values. Moreover, the results of ANN simulation are compared with other data processing methods such as Support Vector Machine (SVM), Partial Least Squares (PLS), Principal Component Regression. In addition, the results of the residual value of ANN with seven neurons for µnf can be very small and close to the expected normal value. From this, it can be concluded that the given model can expect exact values.
Micronization and characterization of ultrafine pure and composite aspirin by CO2-expanded solution
Hossein Rostamian, Mohammad Nader Lotfollahi, Ali Mohammadi
Chemical Papers, 2021
Preparation, optimization, and in-vitro evaluation of aspirin/PEG solid dispersions using subcritical CO2 by response surface methodology
Hossein Rostamian, Mohammad Nader Lotfollahi, Ali Mohammadi
Korean Journal of Chemical Engineering, 2020
Production and characterization of ultrafine aspirin particles by rapid expansion of supercritical solution with solid co-solvent (RESS-SC): expansion parameters effects
Hossein Rostamian, Mohammad Nader Lotfollahi
Particulate Science and Technology, 2020
Micronization of polar drugs by the rapid expansion of supercritical solution (RESS) process is not successful in near critical pressure due to the extremely low solubility of the drugs in near-critical CO2. In this study, for the first time, micronization of aspirin was successfully performed by the rapid expansion of supercritical solution with solid co-solvent (RESS-SC) process in near-critical pressure by using menthol as solid co-solvent. To achieve this aim, some experiments were conducted to study the influences of expansion pressure ranging from 1 to 8 bar, pre-expansion temperature ranging from 30 to 70 °C, spray distance ranging from 2 to 6 cm, nozzle diameter ranging from 300 to 700 µm, and nozzle types (orifice - capillary) on the morphology and size of aspirin particles. The obtained particles were characterized by x-ray diffraction (XRD) and scanning electron microscope (SEM) analysis. Utilizing RESS-SC process in near-critical condition, aspirin particles in the range of 0.17–6.61 µm were obtained.
A new simple model for calculation of solubilities of derivatized anthraquinone compounds in supercritical carbon dioxide
Hossein Rostamian, Mohammad Nader Lotfollahi
Chemical Papers, 2020
Statistical modeling of aspirin solubility in organic solvents by Response Surface Methodology and Artificial Neural Networks
Hossein Rostamian, Mohammad Nader Lotfollahi
Physica A Statistical Mechanics and Its Applications, 2020
A new correlation method for estimating thermal conductivity of carbon dioxide in liquid, vapor and supercritical phases
Hossein Rostamian, Mohammad Nader Lotfollahi
Periodica Polytechnica Chemical Engineering, 2020
In this study, a new correlation for estimating thermal conductivity (TC) of carbon dioxide was developed based on 2319 data points. The data points were at the temperature ranging from 250 to 1100 K, pressure ranging from 1 to 3000 bar and density ranging from 0.3 to 1400 Kg.m-3 in different phases of liquid, vapor and supercritical. The statistical parameters including average absolute deviation (AAD%), average percent relative error (ARE%), sum of absolute residual (SAR) and the coefficient of determination (R2) have been calculated to evaluate the accuracy of present correlation. The obtained values of AAD%, ARE%, SAR and R2 were 1.98, −0.64, 3510.1 and 0.995, respectively. The predictions of proposed correlation were also compared with three widely used correlations. The results showed that the proposed correlation is able to accurately calculate thermal conductivity of carbon dioxide. In addition, the proposed model is superior to all the existing empirical models considered.
Proposing a nano-approach to modify viscosity behavior of SAE 5W50 as light road vehicles lubricant
Mohammad Hemmat Esfe, Saeed Esfandeh, Hossein Rostamian
Journal of Thermal Analysis and Calorimetry, 2020
A novel statistical approach for prediction of thermal conductivity of CO2 by Response Surface Methodology
Hossein Rostamian, Mohammad Nader Lotfollahi
Physica A Statistical Mechanics and Its Applications, 2019
Modeling and prediction of rheological behavior of Al2O3-MWCNT/5W50 hybrid nano-lubricant by artificial neural network using experimental data
Mohammad Hemmat Esfe, Hossein Rostamian, Saeed Esfandeh, Masoud Afrand
Physica A Statistical Mechanics and Its Applications, 2018
Rheological behavior characteristics of ZrO2-MWCNT/10w40 hybrid nano-lubricant affected by temperature, concentration, and shear rate: An experimental study and a neural network simulating
Mohammad Hemmat Esfe, Hossein Rostamian, Mousa Rejvani, Mohammad Reza Sarmasti Emami
Physica E Low Dimensional Systems and Nanostructures, 2018
Prediction and optimization of thermophysical properties of stabilized Al2O3/antifreeze nanofluids using response surface methodology
Mohammad Hemmat Esfe, Masoumeh Firouzi, Hossein Rostamian, Masoud Afrand
Journal of Molecular Liquids, 2018
A novel study on rheological behavior of ZnO-MWCNT/10w40 nanofluid for automotive engines
Mohammad Hemmat Esfe, Hossein Rostamian, Mohammad Reza Sarlak
Journal of Molecular Liquids, 2018
A comparison of performance of several artificial intelligence methods for predicting the dynamic viscosity of TiO2/SAE 50 nano-lubricant
Mohammad Hemmat Esfe, Afshin Tatar, Mohammad Reza Hassani Ahangar, Hossein Rostamian
Physica E Low Dimensional Systems and Nanostructures, 2018
Experimental investigation and model development of the non-Newtonian behavior of CuO-MWCNT-10w40 hybrid nano-lubricant for lubrication purposes
Mohammad Hemmat Esfe, Fatemeh Zabihi, Hossein Rostamian, Saeed Esfandeh
Journal of Molecular Liquids, 2018
Application of three-level general factorial design approach for thermal conductivity of MgO/water nanofluids
Mohammad Hemmat Esfe, Hossein Rostamian, Alireza Shabani-samghabadi, Ali Akbar Abbasian Arani
Applied Thermal Engineering, 2017
Rheological behavior characteristics of TiO2-MWCNT/10w40 hybrid nano-oil affected by temperature, concentration and shear rate: An experimental study and a neural network simulating
Mohammad Hemmat Esfe, Hossein Rostamian, Mohammad Reza Sarlak, Mousa Rejvani, Ali Alirezaie
Physica E Low Dimensional Systems and Nanostructures, 2017
Non-Newtonian power-law behavior of TiO2/SAE 50 nano-lubricant: An experimental report and new correlation
Mohammad Hemmat Esfe, Hossein Rostamian
Journal of Molecular Liquids, 2017
Modified Redlich-Kwong and Peng-Robinson Equations of State for solubility calculation of solid compounds in supercritical carbon dioxide
Hossein Rostamian, Mohammad Nader Lotfollahi
Indian Journal of Science and Technology, 2016
New functionality for energy parameter of Redlich-Kwong equation of state for density calculation of pure carbon dioxide and ethane in liquid, vapor and supercritical phases
Periodica Polytechnica Chemical Engineering, 2016
A new simple equation of state for calculating solubility of solids in supercritical carbon dioxide
Hossein Rostamian, Mohammad Nader Lotfollahi
Periodica Polytechnica Chemical Engineering, 2015

RECENT SCHOLAR PUBLICATIONS

Numerical study of heat transfer of U-shaped enclosure containing nanofluids in a porous medium using two-phase mixture method
MH Esfe, H Rostamian, D Toghraie, M Hekmatifar, ATK Abad
Case Studies in Thermal Engineering 38, 102150 , 2022
2022
Citations: 18
Prediction the dynamic viscosity of MWCNT-Al2O3 (30: 70)/Oil 5W50 hybrid nano-lubricant using Principal Component Analysis (PCA) with Artificial Neural Network (ANN)
MH Esfe, M Hajian, D Toghraie, A Rahmanian, M Pirmoradian, ...
Egyptian Informatics Journal 23 (3), 427-436 , 2022
2022
Citations: 37
Micronization and characterization of ultrafine pure and composite aspirin by CO 2 -expanded solution
H Rostamian, MN Lotfollahi, A Mohammadi
Chemical Papers 75 (1), 99-113 , 2021
2021
Citations: 6
Preparation, optimization, and in-vitro evaluation of aspirin/PEG solid dispersions using subcritical CO 2 by response surface methodology
H Rostamian, MN Lotfollahi, A Mohammadi
Korean Journal of Chemical Engineering 37 (12), 2295-2306 , 2020
2020
Citations: 2
Production and characterization of ultrafine aspirin particles by rapid expansion of supercritical solution with solid co-solvent (RESS-SC): Expansion parameters effects
H Rostamian, MN Lotfollahi
Particulate Science and Technology , 2020
2020
Citations: 17
A new simple model for calculation of solubilities of derivatized anthraquinone compounds in supercritical carbon dioxide
H Rostamian, MN Lotfollahi
Chemical Papers 74 (3), 985-993 , 2020
2020
Citations: 2
Statistical modeling of aspirin solubility in organic solvents by Response Surface Methodology and Artificial Neural Networks
H Rostamian, MN Lotfollahi
Physica A: Statistical Mechanics and its Applications 540, 123253 , 2020
2020
Citations: 10
Proposing a nano-approach to modify viscosity behavior of SAE 5W50 as light road vehicles lubricant: M. Hemmat Esfe et al.
M Hemmat Esfe, S Esfandeh, H Rostamian
Journal of Thermal Analysis and Calorimetry 139 (2), 975-989 , 2020
2020
Citations: 6
A novel statistical approach for prediction of thermal conductivity of CO2 by Response Surface Methodology
H Rostamian, MN Lotfollahi
Physica A: Statistical Mechanics and its Applications 527, 121175 , 2019
2019
Citations: 30
A New Correlation Method for Estimating Thermal Conductivity of Carbon Dioxide in Liquid, Vapor and Supercritical Phases
H Rostamian, MN Lotfollahi
Periodica Polytechnica Chemical Engineering , 2019
2019
Citations: 9
Modeling and prediction of rheological behavior of Al2O3-MWCNT/5W50 hybrid nano-lubricant by artificial neural network using experimental data
MH Esfe, H Rostamian, S Esfandeh, M Afrand
Physica A: Statistical Mechanics and its Applications 510, 625-634 , 2018
2018
Citations: 128
Rheological behavior characteristics of ZrO2-MWCNT/10w40 hybrid nano-lubricant affected by temperature, concentration, and shear rate: An experimental study and a neural …
MH Esfe, H Rostamian, M Rejvani, MRS Emami
Physica E: Low-dimensional systems and nanostructures 102, 160-170 , 2018
2018
Citations: 116
Prediction and optimization of thermophysical properties of stabilized Al2O3/antifreeze nanofluids using response surface methodology
MH Esfe, M Firouzi, H Rostamian, M Afrand
Journal of Molecular Liquids 261, 14-20 , 2018
2018
Citations: 78
A novel study on rheological behavior of ZnO-MWCNT/10w40 nanofluid for automotive engines
MH Esfe, H Rostamian, MR Sarlak
Journal of Molecular Liquids 254, 406-413 , 2018
2018
Citations: 119
A comparison of performance of several artificial intelligence methods for predicting the dynamic viscosity of TiO2/SAE 50 nano-lubricant
MH Esfe, A Tatar, MRH Ahangar, H Rostamian
Physica E: Low-dimensional Systems and Nanostructures 96, 85-93 , 2018
2018
Citations: 113
Experimental investigation and model development of the non-Newtonian behavior of CuO-MWCNT-10w40 hybrid nano-lubricant for lubrication purposes
MH Esfe, F Zabihi, H Rostamian, S Esfandeh
Journal of Molecular Liquids 249, 677-687 , 2018
2018
Citations: 127
Application of three-level general factorial design approach for thermal conductivity of MgO/water nanofluids
MH Esfe, H Rostamian, A Shabani-Samghabadi, AAA Arani
Applied Thermal Engineering 127, 1194-1199 , 2017
2017
Citations: 117
Rheological behavior characteristics of TiO2-MWCNT/10w40 hybrid nano-oil affected by temperature, concentration and shear rate: an experimental study and a neural network …
MH Esfe, H Rostamian, MR Sarlak, M Rejvani, A Alirezaie
Physica E: Low-dimensional Systems and Nanostructures 94, 231-240 , 2017
2017
Citations: 134
Non-Newtonian power-law behavior of TiO2/SAE 50 nano-lubricant: an experimental report and new correlation
MH Esfe, H Rostamian
Journal of Molecular Liquids 232, 219-225 , 2017
2017
Citations: 100
network simulating, Physica E: Low-dimensional Systems and Nanostructures
MH Esfe, H Rostamian, MR Sarlak, M Rejvani, A Alirezaie, R Sarlak
2017

MOST CITED SCHOLAR PUBLICATIONS

Rheological behavior characteristics of TiO2-MWCNT/10w40 hybrid nano-oil affected by temperature, concentration and shear rate: an experimental study and a neural network …
MH Esfe, H Rostamian, MR Sarlak, M Rejvani, A Alirezaie
Physica E: Low-dimensional Systems and Nanostructures 94, 231-240 , 2017
2017
Citations: 134
Modeling and prediction of rheological behavior of Al2O3-MWCNT/5W50 hybrid nano-lubricant by artificial neural network using experimental data
MH Esfe, H Rostamian, S Esfandeh, M Afrand
Physica A: Statistical Mechanics and its Applications 510, 625-634 , 2018
2018
Citations: 128
Experimental investigation and model development of the non-Newtonian behavior of CuO-MWCNT-10w40 hybrid nano-lubricant for lubrication purposes
MH Esfe, F Zabihi, H Rostamian, S Esfandeh
Journal of Molecular Liquids 249, 677-687 , 2018
2018
Citations: 127
A novel study on rheological behavior of ZnO-MWCNT/10w40 nanofluid for automotive engines
MH Esfe, H Rostamian, MR Sarlak
Journal of Molecular Liquids 254, 406-413 , 2018
2018
Citations: 119
Application of three-level general factorial design approach for thermal conductivity of MgO/water nanofluids
MH Esfe, H Rostamian, A Shabani-Samghabadi, AAA Arani
Applied Thermal Engineering 127, 1194-1199 , 2017
2017
Citations: 117
Rheological behavior characteristics of ZrO2-MWCNT/10w40 hybrid nano-lubricant affected by temperature, concentration, and shear rate: An experimental study and a neural …
MH Esfe, H Rostamian, M Rejvani, MRS Emami
Physica E: Low-dimensional systems and nanostructures 102, 160-170 , 2018
2018
Citations: 116
A comparison of performance of several artificial intelligence methods for predicting the dynamic viscosity of TiO2/SAE 50 nano-lubricant
MH Esfe, A Tatar, MRH Ahangar, H Rostamian
Physica E: Low-dimensional Systems and Nanostructures 96, 85-93 , 2018
2018
Citations: 113
Non-Newtonian power-law behavior of TiO2/SAE 50 nano-lubricant: an experimental report and new correlation
MH Esfe, H Rostamian
Journal of Molecular Liquids 232, 219-225 , 2017
2017
Citations: 100
Prediction and optimization of thermophysical properties of stabilized Al2O3/antifreeze nanofluids using response surface methodology
MH Esfe, M Firouzi, H Rostamian, M Afrand
Journal of Molecular Liquids 261, 14-20 , 2018
2018
Citations: 78
New functionality for energy parameter of Redlich-Kwong equation of state for density calculation of pure carbon dioxide and ethane in liquid, vapor and supercritical phases
H Rostamian, MN Lotfollahi
Periodica Polytechnica Chemical Engineering 60 (2), 93-97 , 2016
2016
Citations: 51
Prediction the dynamic viscosity of MWCNT-Al2O3 (30: 70)/Oil 5W50 hybrid nano-lubricant using Principal Component Analysis (PCA) with Artificial Neural Network (ANN)
MH Esfe, M Hajian, D Toghraie, A Rahmanian, M Pirmoradian, ...
Egyptian Informatics Journal 23 (3), 427-436 , 2022
2022
Citations: 37
A novel statistical approach for prediction of thermal conductivity of CO2 by Response Surface Methodology
H Rostamian, MN Lotfollahi
Physica A: Statistical Mechanics and its Applications 527, 121175 , 2019
2019
Citations: 30
A new simple equation of state for calculating solubility of solids in supercritical carbon dioxide
H Rostamian, MN Lotfollahi
Periodica Polytechnica Chemical Engineering 59 (3), 174-185 , 2015
2015
Citations: 22
Numerical study of heat transfer of U-shaped enclosure containing nanofluids in a porous medium using two-phase mixture method
MH Esfe, H Rostamian, D Toghraie, M Hekmatifar, ATK Abad
Case Studies in Thermal Engineering 38, 102150 , 2022
2022
Citations: 18
Production and characterization of ultrafine aspirin particles by rapid expansion of supercritical solution with solid co-solvent (RESS-SC): Expansion parameters effects
H Rostamian, MN Lotfollahi
Particulate Science and Technology , 2020
2020
Citations: 17
Modified Redlich–Kwong and Peng–Robinson equations of state for solubility calculation of solid compounds in supercritical carbon dioxide
H Rostamian, MN Lotfollahi
Indian Journal of Science and Technology 9, 16 , 2016
2016
Citations: 15
Statistical modeling of aspirin solubility in organic solvents by Response Surface Methodology and Artificial Neural Networks
H Rostamian, MN Lotfollahi
Physica A: Statistical Mechanics and its Applications 540, 123253 , 2020
2020
Citations: 10
A New Correlation Method for Estimating Thermal Conductivity of Carbon Dioxide in Liquid, Vapor and Supercritical Phases
H Rostamian, MN Lotfollahi
Periodica Polytechnica Chemical Engineering , 2019
2019
Citations: 9
Micronization and characterization of ultrafine pure and composite aspirin by CO 2 -expanded solution
H Rostamian, MN Lotfollahi, A Mohammadi
Chemical Papers 75 (1), 99-113 , 2021
2021
Citations: 6
Proposing a nano-approach to modify viscosity behavior of SAE 5W50 as light road vehicles lubricant: M. Hemmat Esfe et al.
M Hemmat Esfe, S Esfandeh, H Rostamian
Journal of Thermal Analysis and Calorimetry 139 (2), 975-989 , 2020
2020
Citations: 6

hossin rostamian

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS