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Unsteady mix convectional stagnation point flow of nanofluid over a movable electro-magnetohydrodynamics Riga plate numerical approach

Saleem NasirCenter for Catalysis and Separation (CeCas), Khalifa University of Science and Technology, P.O. Box 127788, Abu Dhabi, United Arab Emirates. [email protected]Abdallah S. BerroukCenter for Catalysis and Separation (CeCas), Khalifa University of Science and Technology, P.O. Box 127788, Abu Dhabi, United Arab EmiratesTaza GulDepartment of Mathematics, City University of Science and Information Technology, Peshawar, 25000, Pakistan. [email protected]Islam ZariDepartment of Mathematics, University of Peshawar, Peshawar, 25000, Khyber Pakhtunkhwa, PakistanWajdi AlghamdiDepartment of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, 80261, Saudi ArabiaIshtiaq AliDepartment of Mathematics and Statistics College of Science, King Faisal University, P. O. Box 400, Al-Ahsa, 31982, Saudi Arabia
2023en
ABI

Аннотация

Abstract The flow at a time-independent separable stagnation point on a Riga plate under thermal radiation and electro-magnetohydrodynamic settings is examined in this research. Two distinct base fluids-H 2 O and C 2 H 6 O 2 and TiO 2 nanostructures develop the nanocomposites. The flow problem incorporates the equations of motion and energy along with a unique model for viscosity and thermal conductivity. Similarity components are then used to reduce these model problem calculations. The Runge Kutta (RK-4) function yields the simulation result, which is displayed in graphical and tabular form. For both involved base fluid theories, the nanofluids flow and thermal profiles relating to the relevant aspects are computed and analyzed. According to the findings of this research, the C 2 H 6 O 2 model heat exchange rate is significantly higher than the H 2 O model. As the volume percentage of nanoparticles rises, the velocity field degrades while the temperature distribution improves. Moreover, for greater acceleration parameters, TiO 2 / C 2 H 6 O 2 has the highest thermal coefficient whereas TiO 2 / H 2 O has the highest skin friction coefficient. The key observation is that C 2 H 6 O 2 base nanofluid has a little higher performance than H 2 O nanofluid.

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