M. Sepehrnia

发表

Effect of transverse and parallel magnetic fields on thermal and thermo-hydraulic performances of ferro-nanofluid flow in trapezoidal microchannel heat sink

M. Shafii, H. Khorasanizadeh, M. Sepehrnia, 2021 .

Effects of different inlet/outlet arrangements on performance of a trapezoidal porous microchannel heat sink

H. Khorasanizadeh, M. Sepehrnia, 2016 .

Study of flow field, heat transfer, and entropy generation of nanofluid turbulent natural convection in an enclosure utilizing the computational fluid dynamics-artificial neural network hybrid method

M. Sepehrnia, M. Motamedian, G. Sheikhzadeh, 2019, Heat Transfer-Asian Research.

Rheological Behavior of SAE50 Oil–SnO2–CeO2 Hybrid Nanofluid: Experimental Investigation and Modeling Utilizing Response Surface Method and Machine Learning Techniques

S. D. Farahani, M. Lotfalipour, M. Sepehrnia, 2022, Nanoscale research letters.

Tribological and rheological properties of novel MoO3-GO-MWCNTs/5W30 ternary hybrid nanolubricant: Experimental measurement, development of practical correlation, and artificial intelligence modeling

M. Sepehrnia, H. Maleki, Mehdi Forouzandeh Behbahani, 2023, Powder Technology.

Examining rheological behavior of CeO2-GO-SA/10W40 ternary hybrid nanofluid based on experiments and COMBI/ANN/RSM modeling

M. Sepehrnia, M. Karimi, H. Maleki, 2022, Scientific reports.

Rheological behavior of engine oil based hybrid nanofluid containing MWCNT and ZnO nanopowders: Experimental analysis, developing a novel correlation and neural network modeling

K. Mohammadzadeh, Mohammad J. Amani, M. Sepehrnia, 2022, Powder Technology.

Experimental study on the dynamic viscosity of hydraulic oil HLP 68- Fe3O4-TiO2-GO ternary hybrid nanofluid and modeling utilizing machine learning technique

A. Shahsavar, M. Sepehrnia, Abolfazl Moradi, 2023, Journal of the Taiwan Institute of Chemical Engineers.

Laboratory investigation of GO-SA-MWCNTs ternary hybrid nanoparticles efficacy on dynamic viscosity and wear properties of oil (5W30) and modeling based on machine learning

M. Sepehrnia, H. Golmohammadi, Somayeh Davoodabadi Farahani, 2023, Scientific reports.

Experimental study and development of mathematical model using surface response method to predict the rheological performance of CeO2-CuO/10W40 hybrid nanolubricant

K. Mohammadzadeh, M. Sepehrnia, M. Karimi, 2023, Arabian Journal of Chemistry.

Experimental study, prediction modeling, sensitivity analysis, and optimization of rheological behavior and dynamic viscosity of 5W30 engine oil based SiO2/MWCNT hybrid nanofluid

K. Mohammadzadeh, Mohammad J. Amani, M. Sepehrnia, 2023, Ain Shams Engineering Journal.

Numerical simulation of turbulent natural convection of nanofluid with thermal radiation inside a tall enclosure under the influence of magnetohydrodynamic

M. Sepehrnia, M. Motamedian, A. Rahmati, 2018, Heat Transfer-Asian Research.

Numerical Simulation and Designing Artificial Neural Network for Water-Diamond Nanofluid Flow for Micro-Scale Cooling of Medical Equipment

M. Sepehrnia, Golnoush Abaei, Zahra Khosromirza, 2018, 2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME).

Numerical investigating the gas slip flow in the microchannel heat sink using different materials

M. Sepehrnia, A. Rahmati, 2018 .

Thermal Performance and Entropy Generation Analysis of Nanofluid Flow in a Trapezoidal Heat Sink with Different Arrangements

M. Sepehrnia, H. Khorasanizadeh, 2019 .

Thermal conductivity of hydraulic oil-GO/Fe3O4/TiO2 ternary hybrid nanofluid: Experimental study, RSM analysis, and development of optimized GPR model

A. Shahsavar, M. Sepehrnia, H. Maleki, 2023, Journal of Molecular Liquids.

Effects of sonication time on thermophysical properties of ternary hybrid nanofluid and modeling thermophysical properties utilizing two GMDH and SVR models based on machine learning

M. Sepehrnia, Amin Shahsavar, Ali Fateh Moghaddam, 2024, Journal of the Taiwan Institute of Chemical Engineers.