Flow characterization using a laser Doppler vibrometer
Introduction
Measuring physical phenomena in most cases means perturbing that exact phenomenon. This is no different in the fluid dynamic world. Measurement techniques are ever evolving minimizing the interaction between measurement equipment and the physical event itself [1], [2]. In the fluid dynamic world this started out with relatively simple devices such as the constant temperature anemometer (CTA) and time resolved pressure recordings. These techniques, however, suffer from a number of disadvantages mostly due to their intrusive nature, which for instance makes it quite difficult for them to resolve high level turbulence or work at extreme temperatures. The next step came with the possibility to use optical measurement techniques such as the laser Doppler anemometer (LDA) and particle image velocimetry (PIV). Both techniques require the introduction of so-called tracer particles to the flow. The displacement of these tracers is then measured by means of an optical system and a laser. LDA offers a high spatial resolution measurement (by scanning) but at only one position at a time, whereas the PIV offers full imagery of the flow at reduced resolution. The latter gives good results for resolving turbulence and with the correct tracer particles can operate in a wide range of temperatures.
However, if one is only interested in obtaining a qualitative visualization of the flow relatively quickly, choosing these correct tracer particles and tuning the test set-up could be overzealous. Using a laser Doppler vibrometer (LDV) it is possible to visualize flows without any intrusion whatsoever [3], [4], [5]. A LDV, which is traditionally used to measure vibrations is also sensitive to changes in refractive index of the medium, in casu density variations of the measurement volume along the line-of-sight. Therefore it is possible to measure e.g. flows or even acoustic phenomena. Moreover it is possible to retrieve this spectral information simultaneously, without hampering measurement time or needing a different test set-up. Now, it is well known that the signals acquired by interferometric techniques are line integrals over the laser beam optical path, so therefore images are often taken at different angles to derive local density distribution, which in turn implies needing tomographic reconstruction algorithms [6]. In this paper we are only interested in a 2-dimensional view of the flow and because of the specific nature of the test object no reconstructive tomography is necessary as will be shown in the following paragraphs.
In this paper the flow in a cylinder wake is visualized with an LDV, at different free stream velocities and for different sizes of cylinders. The frequency information, characterizing the von Karmann street in the wake of the cylinder, gained from the LDV measurements will be compared numerically to calculations done from the Strouhal number, computational fluid dynamics (CFD) calculations as well as a PIV measurement. As the technique does not give direct quantitative information on velocities, the measured density variations will be compared visually to the density calculated from CFD simulations.
Section snippets
Theoretical principle
The LDV is based on a modified Mach–Zender interferometer and measures a pseudo velocity depending on the variation of the optical path and the refraction index, n, of the medium within the measuring volume illustrated in Fig. 1.
The classical use of the LDV is to measure the velocity or displacement of moving objects on which the laser beam impacts. The physical principle governing the measurement system is the Doppler effect that occurs when the laser light is scattered by a moving target: if
Experimental set-up of LDV
The measurements were performed on two cylinders of different diameters ( 0.014 and 0.062 m, respectively). They were suspended in a wind tunnel with a cross section of . Three velocities were set to cover the entire range of the tunnel. The lowest stable free stream velocity setting was 11.2 m/s. The highest stable setting was 31 m/s. The third velocity was chosen arbitrarily in between the limits of the tunnel at 21.2 m/s. The velocities were measured with a pitot tube 0.5 m upstream of
Frequency content
To make a numerical comparison possible between the established methods and the LDV measurements the frequency content was derived with the methods explained in Section 3.
It is also possible to predict the frequency of the von Karmann street formed in a cylinder wake based on Strouhal (St) number calculations. The Strouhal number (Eq. (5)), which is the non-dimensional frequency of the vortex shedding, is equal to according to experiments done by Ong et al. [10]:In this
Conclusions
In this article the measurement of fluid dynamic phenomena was explained using a laser Doppler vibrometer (LDV). Measurements were performed on different sized cylinders at different velocities in a wind tunnel set-up. These measurements were compared with a PIV measurement and also with CFD simulations. The technique proved able to provide numerical data on frequency content of flows and also a visual representation of the density. The frequency content matched up quite well to the two latter
Acknowledgements
This research has been supported by the Fund for Scientific Research—Flanders (Belgium) (FWO); the Concerted Research Action “OPTIMech” of the Flemish Community; and the Research Council (OZR) of the Vrije Universiteit Brussel (VUB). The authors would also like to thank Stephan Kallweit from ILA GMBH for providing his PIV equipment and assistance during these measurements.
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