Investigation of turbulent superstructures in Rayleigh–Bénard convection by Lagrangian particle tracking of fluorescent microspheres
العنوان: | Investigation of turbulent superstructures in Rayleigh–Bénard convection by Lagrangian particle tracking of fluorescent microspheres |
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المؤلفون: | Weiss, Stephan, Schanz, Daniel, Erdogdu, Ahmed Oguzhan, Schröder, Andreas, Bosbach, Johannes |
المصدر: | Experiments in Fluids. 64 |
بيانات النشر: | Springer Science and Business Media LLC, 2023. |
سنة النشر: | 2023 |
مصطلحات موضوعية: | Turbulence, Fluid Flow and Transfer Processes, Lagrangian Particle Tracking, FLowFit, Shake-The-Box, Mechanics of Materials, Rayleigh Benard Convection, Computational Mechanics, General Physics and Astronomy, Thermal Convection, Pattern Formation, Particle Tracking |
الوصف: | We present spatially and temporally resolved velocity and acceleration measurements of turbulent Rayleigh–Bénard convection (RBC) in the entire fluid sample of square horizontal cross section with length $$L=320$$ L = 320 mm and height $$H=20$$ H = 20 mm, resulting in an aspect ratio of $$\Gamma =H/L=16$$ Γ = H / L = 16 . The working fluid was water with a Prandtl number of Pr=7 and the Rayleigh number was set to $${\text{Ra}}= 1.1\times 10^6$$ Ra = 1.1 × 10 6 . In order to minimize surface reflections, we used fluorescent polyethylene microspheres as tracer particles that were imaged at a rate of 19 Hz by six cameras. From the images, the particle positions, velocities, and accelerations were determined via the ‘Shake-The-Box’ (STB) Lagrangian particle tracking algorithm. With this approach, we could simultaneously track more than 300,000 particles and hence study the resulting turbulent structures in the Eulerian and Lagrangian frames while resolving the smallest spatial and temporal scales of the flow. |
تدمد: | 1432-1114 0723-4864 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4795aca5f4d303956c21bfe6f23258e https://doi.org/10.1007/s00348-023-03624-9 |
حقوق: | OPEN |
رقم الأكسشن: | edsair.doi.dedup.....a4795aca5f4d303956c21bfe6f23258e |
قاعدة البيانات: | OpenAIRE |
تدمد: | 14321114 07234864 |
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