Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Reza Hassanian"'
Publikováno v:
Fluids, Vol 9, Iss 4, p 84 (2024)
This study presents a novel approach to using a gated recurrent unit (GRU) model, a deep neural network, to predict turbulent flows in a Lagrangian framework. The emerging velocity field is predicted based on experimental data from a strained turbule
Externí odkaz:
https://doaj.org/article/6eadbcce9cbd4b0a853fb639370a94b0
Publikováno v:
Fluids, Vol 9, Iss 1, p 17 (2024)
This study proposes a computational model to define the wind velocity of the environment on the photovoltaic (PV) module via heat transfer concepts. The effect of the wind velocity and PV module is mostly considered a cooling effect. However, cooling
Externí odkaz:
https://doaj.org/article/6914b13088a849af91b691e1a34eb21d
Autor:
Reza Hassanian, Morris Riedel
Publikováno v:
Computation, Vol 11, Iss 11, p 227 (2023)
This study introduces an approach for modeling an arm of a Stewart platform to analyze the location of sections with a high deflection among the arms. Given the dynamic nature of the Stewart platform, its arms experience static and dynamic loads. The
Externí odkaz:
https://doaj.org/article/a98eef32de1b4e5295040701e7d76665
Publikováno v:
Thermo, Vol 2, Iss 1, Pp 39-55 (2022)
This paper evaluates the photovoltaic (PV) module operating temperature’s relation to efficiency via a numerical heat transfer model. The literature reports that higher PV module operating temperatures impact PV module efficiency. There are dozens
Externí odkaz:
https://doaj.org/article/f1fc7890107446638fbabbaf90213b1c
Autor:
Reza Hassanian, Morris Riedel
Publikováno v:
Machines, Vol 11, Iss 5, p 566 (2023)
Since the stagnation point is subject to straining motion, this 3D experiment is an effort to simulate the stagnation plane, which applies to studying the particle erosion in rotary machine blades, such as wind turbines, gas turbines, and compressors
Externí odkaz:
https://doaj.org/article/16b83c44ef3940edac9afb9b1cda1534
Publikováno v:
Fluids, Vol 7, Iss 11, p 344 (2022)
The subject of this study presents an employed method in deep learning to create a model and predict the following period of turbulent flow velocity. The applied data in this study are extracted datasets from simulated turbulent flow in the laborator
Externí odkaz:
https://doaj.org/article/b45adddb291f448cb1d2b244c934c42f
This study aimed to apply empirical data to assess wind energy production at the Búrfell site in Iceland based on the E44 turbine model. The empirical data are 5 years of recordings at the site location by the Iceland Metrological office. The wind s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12fb85bc9198614259047c2d9cd82173
https://hdl.handle.net/20.500.11815/4358
https://hdl.handle.net/20.500.11815/4358
This study presents a deep learning (DL) neural network hybrid data-driven method that is able to predict turbulence flow velocity field. Recently many studies have reported the application of recurrent neural network (RNN) methods, particularly the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a619dcbdc26db55b8c099686090a091
https://hdl.handle.net/20.500.11815/3524
https://hdl.handle.net/20.500.11815/3524
This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/
This study is aimed to investigate the acceleration response of the non-commutated Direct Current (DC) li
This study is aimed to investigate the acceleration response of the non-commutated Direct Current (DC) li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b29148c839846b65b3b162fc2463f797
https://hdl.handle.net/20.500.11815/3310
https://hdl.handle.net/20.500.11815/3310
Publikováno v:
Solar
Solar 1(1), 41-51 (2021). doi:10.3390/solar1010005
Solar; Volume 1; Issue 1; Pages: 41-51
Solar 1(1), 41-51 (2021). doi:10.3390/solar1010005
Solar; Volume 1; Issue 1; Pages: 41-51
In this study, recorded empirical data were applied with a practical approach to investigate the optimal tilt angle of the flat plate collectors facing south for a long period in Tehran, Iran. The data included 20 years of recorded average total radi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aba5ad9d263128fa490b548dc4c7fc4b