Behnam Mohseni-Gharyehsafa

Ph.D. thesis: “Heat transfer management in power and micro electronic systems”.

Supervisor: Prof. Henni Ouerdane

IDC committee members: Prof. Henni Ouerdane and Prof. Aldo Bischi

Behnam graduated from Shahrood University of Technology in 2018, majoring in Energy Conversion. His diploma work was dedicated to determining the thermodynamic properties of natural gas using neural networks. His focus on research is on heat transfer at Skoltech. In his current project, he works on further investigation of heat dissipation devices and heat exchangers. Heat dissipation is the burning issue of the future concerning the sharp increase of human population, paramount need for welfare, and high-tech gizmos. Passive techniques in heat transfer augmentation draw a lot of attention without using a massive amount of external power.

List of papers:

1. Mahmood Farzaneh-Gord, Behnam Mohseni-Gharyehsafa, Alexander Toikka, Irina Zvereva. Sensitivity of natural gas flow measurement to AGA8 or GERG2008 equation of state utilization. Journal of Natural Gas Science and Engineering, v. 57, pp. 305–321 (2018)
2. Mahmood Farzaneh-Gord, Behnam Mohseni-Gharyehsafa, Amir Ebrahimi-Moghadam, Ali Jabari-Moghadam, Alexander Toikka, Irina Zvereva. Precise calculation of natural gas sound speed using neural networks: An application in flow meter calibration. Flow Measurement and Instrumentation, v. 64, pp. 90–103 (2018)
3. Amir Ebrahimi-Moghadam, Behnam Mohseni-Gharyehsafa, Mahmood Farzaneh-Gord. Using artificial neural network and quadratic algorithm for minimizing entropy generation of Al2O3-EG/W nanofluid flow inside parabolic trough solar collector. Renewable Energy, v. 129, pp. 473–485 (2018)
4. Mohammad Hossein Ahmadi, Behnam Mohseni-Gharyehsafa, Mahmood Farzaneh-Gord, Ravindra D Jilte, Ravinder Kumar, Kwok-wing Chau. Applicability of connectionist methods to predict dynamic viscosity of silver/water nanofluid by using ANN-MLP, MARS and MPR algorithms. Engineering Applications of Computational Fluid Mechanics, v. 13, pp. 220–228 (2019)
5. Mahmood Farzaneh-Gord, Hamid Reza Rahbari, Behnam Mohseni-Gharyehsafa, Alexander Toikka, Irina Zvereva.  Machine learning methods for precise calculation of temperature drop during a throttling process. Journal of Thermal Analysis and Calorimetry, v. 140, pp. 1–14 (2019)
6. Behnam Mohseni-Gharyehsafa, Amir Ebrahimi-Moghadam, Vahab Okati, Mahmood Farzaneh-Gord, Mohammad Hossein Ahmadi, Giulio Lorenzini. Optimizing flow properties of the different nanofluids inside a circular tube by using entropy generation minimization approach. Journal of Thermal Analysis and Calorimetry, v. 135, pp. 801–811 (2019)
7. Mohammad Hossein Ahmadi, Behnam Mohseni-Gharyehsafa, Mahyar Ghazvini, Marjan Goodarzi, Ravindra D Jilte, Ravinder Kumar. Comparing various machine learning approaches in modeling the dynamic viscosity of CuO/water nanofluid. Journal of Thermal Analysis and Calorimetry, v. 139, pp. 2585–2599(2019)
8. Mahmood Farzaneh-Gord, Behnam Mohseni-Gharyehsafa, Ahmad Arabkoohsar, Mohammad Hossein Ahmadi, Mikhail A Sheremet. Precise prediction of biogas thermodynamic properties by using ANN algorithm. Renewable Energy, v. 147, pp. 179–191(2020)
9. Mostafa Kahani, Mahyar Ghazvini, Behnam Mohseni-Gharyehsafa, Mohammad Hossein Ahmadi, Amin Pourfarhang, Motahareh Shokrgozar, Saeed Zeinali Heris. Application of M5 tree regression, MARS, and artificial neural network methods to predict the Nusselt number and output temperature of CuO based nanofluid flows in a car radiator. International Communications in Heat and Mass Transfer, v. 116, (2020)

List of conferences:

1. Behnam Mohseni-Gharyehsafa, Vahab Okati, Amir Ebrahimi-Moghadam, Yahya Bijarzehi. 3D CFD Simulation of the Natural Gas Emission from Damaged Pipelines. Advances in Engineering and Technology, Istanbul,Turkey (2018)
2. Amir Ebrahimi-Moghadam, Behnam Mohseni-Gharyehsafa, Ali Jabari Moghadam, Mahmmod Farzaneh-Gord, Bijarzehi Yahya, Vahab Okati. Prediction of natural gas z-factor by using ANN method. Advances in Engineering and Technology, Istanbul,Turkey (2018)