Abstract
Abstract
A novel method capable of assessing flow fields in a quick and relatively simple manner is introduced. In an extension to the classical qualitative flow visualization by means of cotton or polymeric tufts, digital data processing is used to extract the orientation of these tufts. This information can be related to physical quantities, in particular to time- and space-dependent velocity signals. The capability of this method is demonstrated in two test scenarios. First, it is applied to gain information on the unsteady near-wall flow along a turbulent separation bubble. Second, the two-component velocity field in the wake of a generic car model is measured, allowing for a quantification of the recirculation zone dimensions. Validation measurements with conventional techniques, e.g., particle image velocimetry, unsteady pressure measurements and hot wire anemometry, are conducted throughout the study. These generally suggest that the novel approach provides a quick and reasonably good quantitative overview of the flow configurations. However, the measurement error may be substantial in flow regions of low velocity or dominated by high-frequency oscillations.
Graphic abstract
Publisher
Springer Science and Business Media LLC
Subject
Fluid Flow and Transfer Processes,General Physics and Astronomy,Mechanics of Materials,Computational Mechanics
Reference27 articles.
1. Ahmed SR, Ramm G, Faltin G (1984) Some salient features of the time-averaged ground vehicle wake. SAE Trans 93:473–503
2. Andino MY, Lin JC, Washburn AE, Whalen EA, Graff EC, Wygnanski IJ (2015) Flow separation control on a full-scale vertical tail model using sweeping jet actuators. In: 53rd AIAA aerospace sciences meeting, p 0785
3. Bird JD, Riley DR (1952) Some experiments on visualization of flow fields behind low-aspect-ratio wings by means of a tuft grid. Technical report, National Advisory Committee for Aeronautics (NASA)
4. Brown GL, Roshko A (1974) On density effects and large structure in turbulent mixing layers. J Fluid Mech 64(4):775–816
5. Chen L, Suzuki T, Nonomura T, Asai K (2019) Characterization of luminescent mini-tufts in quantitative flow visualization experiments: surface flow analysis and modelization. Exp Therm Fluid Sci 103:406–417
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献