Research of a wind tunnel parameters by means of cross-section analysis of air flow profiles

Yanovych, Vitalii; Duda, Daniel; Horáček, Vít; Uruba, Václav

doi:10.1063/1.5138636

Cited by 16 publications

(16 citation statements)

References 7 publications

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“…The measurement has been performed inside the open wind tunnel at University of West Bohemia in Pilsen [29,30]. The commercial Particle Image Velocimetry (PIV) system from company Dantec consists of a 4 MPix FlowSense MkII camera and a solid-state double pulse laser New Wave Solo of dominant wavelength 532 nm and pulse energy up to 500 mJ.…”

Section: Methodsmentioning

confidence: 99%

Particle image velocimetry measurement of turbulent wake past circular cylinder at Reynolds numbers from 2.5·10³to 1.5·10⁴

Sterly

2021

MATEC Web Conf.

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A canonical case of air flow past a circular cylinder is studied by using Particle Image Velocimetry technique. This contribution focus to the ensemble statistics (first and second moment) of the stream-wise and transverse velocity component as well as to the in-plane vorticity component. Although the range of explored Reynolds numbers is narrow, we observe a significant shortening of recirculation bubble within this range.

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Section: Methodsmentioning

confidence: 99%

Particle image velocimetry measurement of turbulent wake past circular cylinder at Reynolds numbers from 2.5·10³to 1.5·10⁴

Sterly

2021

MATEC Web Conf.

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“…Which was developed at the Department of Energy Systems Engineering, the University of West Bohemia for investigating various flow phenomena (Fig. 1a) [49,50]. It is should be noted that the special design of the tunnel allows generating flow up 90 m s −1 with a low degree of turbulence 0.2%.…”

Section: Experimental Setup and Instrumentationsmentioning

confidence: 99%

Anisotropy of turbulent flow behind an asymmetric airfoil

et al. 2021

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Feature of turbulent flow anisotropy behavior behind an asymmetric NACA 64-618 airfoil investigated in this paper. Experimental studies were performed using a hot-wire anemometery with X-probe at the chord-based Reynolds number $$1.7 \times 10^5$$ 1.7 × 10 5 . The average ensemble velocity and Reynolds stress components are used to determine the wake topology and anisotropy of turbulence. The obtained data allowed to identify the outside wake region, which is characterized by low instability and a high degree of anisotropy of the turbulent flow. This tendency is observed at different angles incident. Further, to gain better insight into the physics of this phenomenon the structure of turbulence have been evaluated. Integral turbulence length and time scales were estimated by the area of the autocorrelation function of velocity fluctuations. Then, using the second-order structural function, we obtained the dissipation characteristics of the flow. In addition, the features of the energy spectrum in the region with high and low degrees of turbulence anisotropy were analyzed.

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“…The experiment was conducted in a low-speed open-type wind tunnel at the Department of Energy Systems Engineering, West Bohemian University [10,11]. The internal dimensions of the width, height, length of the test section were 0.3 m, 0.2 m and 0.75 m, respectively.…”

Section: Experimental Facilitiesmentioning

confidence: 99%

The structure of turbulent flow behind the NACA 0012 airfoil at high angles of attack and low Reynolds number

et al. 2021

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This paper shows the results of a study of the turbulent structure behind the NACA 0012 airfoil. During the experiment, the flow velocity was 20 m·s−1. That corresponds the Reynolds number 1.3·105. The point behind the trailing edge was chosen for experimental studies. Measurements were performed at six angles of attack α = 0°, 15°, 30°, 45°, 60°, 75° and various cases of positioning the measuring section. Namely at a constant crosssection and a constant distance behind the airfoil. The NetScanner pressure system and hot-wire technique were used for experimental studies. The obtained data allowed us to investigate the wake topology. The average velocity and standard deviation distributions are clearly grouped depending on the angle of attack. Thus, flowing around the airfoil is better up to α ≤15°. Distributions by power density and dissipation spectra also have a similar grouping tendency. Finally, we investigated the turbulent structure according to the research program. We found that at α ≥45°, depending on the measurement case, there is a clear difference in the distribution of standard deviation, Eulerian length scale, Taylor micro-scale, and Reynolds number based on the Taylor micro-scale. The obtained values at the constant distance, in contrast to the constant cross-section, are reduced.

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Research of a wind tunnel parameters by means of cross-section analysis of air flow profiles

Cited by 16 publications

References 7 publications

Particle image velocimetry measurement of turbulent wake past circular cylinder at Reynolds numbers from 2.5·10³to 1.5·10⁴

Particle image velocimetry measurement of turbulent wake past circular cylinder at Reynolds numbers from 2.5·10³to 1.5·10⁴

Anisotropy of turbulent flow behind an asymmetric airfoil

The structure of turbulent flow behind the NACA 0012 airfoil at high angles of attack and low Reynolds number

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Research of a wind tunnel parameters by means of cross-section analysis of air flow profiles

Cited by 16 publications

References 7 publications

Particle image velocimetry measurement of turbulent wake past circular cylinder at Reynolds numbers from 2.5·103to 1.5·104

Particle image velocimetry measurement of turbulent wake past circular cylinder at Reynolds numbers from 2.5·103to 1.5·104

Anisotropy of turbulent flow behind an asymmetric airfoil

The structure of turbulent flow behind the NACA 0012 airfoil at high angles of attack and low Reynolds number

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Particle image velocimetry measurement of turbulent wake past circular cylinder at Reynolds numbers from 2.5·10³to 1.5·10⁴

Particle image velocimetry measurement of turbulent wake past circular cylinder at Reynolds numbers from 2.5·10³to 1.5·10⁴