Near-surface fluid dynamics with large-scale Lagrangian particle tracking
E.P. Dedding (TU Delft - Aerospace Engineering)
Andrea Sciacchitano – Mentor (TU Delft - Aerodynamics)
F. Scarano – Mentor (TU Delft - Aerodynamics)
L.A. Hendriksen – Mentor (TU Delft - Aerodynamics)
B. W. van Oudheusden – Graduation committee member (TU Delft - Aerodynamics)
AH Van Zuijlen – Graduation committee member (TU Delft - Aerodynamics)
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Abstract
This thesis proposes techniques to produce wall-shear stress estimates from three-dimensional Lagrangian particle tracking (LPT). Several works have already faced the problem of determining near-wall velocity and in particular skin friction for the case of a flat surface. Here, the problem is translated to generic three-dimensional objects. The work makes use of an experimental database, recently produced, with LPT (Hendriksen et al. 2024), that provides in-situ registration of the object, for three shapes of increasing complexity: a cube, an airfoil and a cyclist. Four techniques are examined and compared, including interpolation method as well as local data regression. The uncertainty is evaluated a-posteriori, comparing the results with a local coin-stacking technique, where applicable. All techniques yield accurate and robust representations of the skin friction lines around three-dimensional objects, allowing for an insightful inspection of the near-surface flow topology. Instead, distinct differences are found when the skin-friction magnitude is estimated.