Mesomacroscopic pseudo-direct numerical simulation of turbulent MHD convection; International Journal of Thermal Sciences; Vol. 221
| Parent link: | International Journal of Thermal Sciences.— .— Amsterdam: Elsevier Science Publishing Company Inc. Vol. 221.— 2026.— Article number 110470, 18 p. |
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| Summary: | Title screen The paper analyzes the turbulent thermally-induced magnetohydrodynamic flow of gallium melt in a closed cavity heated and cooled from the sides. To study heat transfer and fluid flow patterns, the hybrid computational fluid dynamics solver was developed combining mesoscopic and macroscopic scales. Within this hybrid solver, the flow field is reconstructed using the high order regularized lattice Boltzmann scheme. On the contrary, the finite difference solution of the energy equation is used to evaluate the thermal field. An in-house numerical code developed in MatLab can be executed both on central processing units (CPU) and graphics processing units (GPU). It was found that the GPU NVIDIA Tesla P100 based code is more than 40 times faster than the CPU Intel Core i7-9700k based code when the grid size is 10012. The external magnetic field suppresses flow fluctuations at the cold wall while thermal irregularities are still observed at the hot wall with Rayleigh number and Hartmann number range of and , respectively. The inclination angle of the Lorentz force can be used as the heat and flow control parameters. In particular, the magnetic field applied in a vertical direction opposes the turbulent plumes generation at the hot wall while enhancing the instabilities at the cold wall. An inverse effect was found when the inclination angle was set to zero. The second order statistics computed for indicates a near-zero distribution of turbulent kinetic energy throughout almost the entire cavity with . Hence, the wide-spread RANS models might be failed to predict turbulent MHD natural convection patterns Текстовый файл AM_Agreement |
| Sprog: | engelsk |
| Udgivet: |
2026
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| Fag: | |
| Online adgang: | https://doi.org/10.1016/j.ijthermalsci.2025.110470 |
| Format: | Electronisk Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=684504 |
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| 200 | 1 | |a Mesomacroscopic pseudo-direct numerical simulation of turbulent MHD convection |f Alexander Nee | |
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| 330 | |a The paper analyzes the turbulent thermally-induced magnetohydrodynamic flow of gallium melt in a closed cavity heated and cooled from the sides. To study heat transfer and fluid flow patterns, the hybrid computational fluid dynamics solver was developed combining mesoscopic and macroscopic scales. Within this hybrid solver, the flow field is reconstructed using the high order regularized lattice Boltzmann scheme. On the contrary, the finite difference solution of the energy equation is used to evaluate the thermal field. An in-house numerical code developed in MatLab can be executed both on central processing units (CPU) and graphics processing units (GPU). It was found that the GPU NVIDIA Tesla P100 based code is more than 40 times faster than the CPU Intel Core i7-9700k based code when the grid size is 10012. The external magnetic field suppresses flow fluctuations at the cold wall while thermal irregularities are still observed at the hot wall with Rayleigh number and Hartmann number range of and , respectively. The inclination angle of the Lorentz force can be used as the heat and flow control parameters. In particular, the magnetic field applied in a vertical direction opposes the turbulent plumes generation at the hot wall while enhancing the instabilities at the cold wall. An inverse effect was found when the inclination angle was set to zero. The second order statistics computed for indicates a near-zero distribution of turbulent kinetic energy throughout almost the entire cavity with . Hence, the wide-spread RANS models might be failed to predict turbulent MHD natural convection patterns | ||
| 336 | |a Текстовый файл | ||
| 371 | 0 | |a AM_Agreement | |
| 461 | 1 | |t International Journal of Thermal Sciences |c Amsterdam |n Elsevier Science Publishing Company Inc. | |
| 463 | 1 | |t Vol. 221 |v Article number 110470, 18 p. |d 2026 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a MHD | |
| 610 | 1 | |a Hybrid LBM | |
| 610 | 1 | |a Turbulence | |
| 610 | 1 | |a Natural convection | |
| 610 | 1 | |a Pseudo-direct numerical simulation | |
| 700 | 1 | |a Nee |b A. E. |c specialist in the field of thermal engineering |c Associate Professor of Tomsk Polytechnic University, Candidate of Sciences |f 1990- |g Aleksandr Eduardovich |9 18868 | |
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