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Volumetric Lagrangian Particle Tracking in high Reynolds number pipe flow

D. Schanz(1), R. Geisler(1), J. Lemarechal(1), L. Lazzarini(2), G. Bellani(2), A. Talamelli(2), S.T. Thoroddsen(3), V. Mugundhan(3), A. Alhareth(3,4), K.R. Dharmarajan(3), A. Aguirre-Pablo(3), R. Deshpande(5), H. Nagib(6), A. Schröder(1,7)

1: German Aerospace Center (DLR), Institute of Aerodynamics and Flow Technology, Göttingen, Germany
2: Department of Industrial Engineering / CIRI Aerospace, University of Bologna, Forlì, Italy
3: King Abdullah University of Science and Technology (KAUST), Saudi Arabia
4: King Abdulaziz City for Science and Technology (KACST), Riyadh 12354, Saudi Arabia
5: School of Engineering, RMIT University, Melbourne 3000 VIC, Australia
6: Illinois Tech, Chicago, USA
7: Brandenburg University of Technology, Chair of Image Based Measurement Techniques, Cottbus, Germany

DOI:

We present statistical and instantaneous results from a time-resolved 3D measurement of pipe flow at = 19,200, captured in the CICLoPE facility and evaluated via Shake-The-Box. Using a high speed laser and camera system, most of the data was recorded in many short time-resolved sequences of 30 snapshots each; this mode combines the accuracy of time-resolved processing with the statistic independece of double-frame recordings. Profiles of velocities and Reynolds stresses could be extracted from 0.4 to 3600, which show very good coherence with expected results based on comparisons to DNS at a slightly lower Reynolds number. The location of the first peak of streamwise fluctuations is found at 16.3 +/- 0.5. The huge number of statistically independent and highly accurate particle data allows for the first time to extract high-resolution profiles of acceleration and the corresponding variances at such high Reynolds number. Continuous fields of velocity and vorticity can be extracted from the particle tracks at each time instant and may give access to further investigations, e.g. vorticity statistics (see Thoroddsen et al. 2026).

Volumetric Lagrangian Particle Tracking in high Reynolds number pipe flow
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