Hot-Wire Investigation of Turbulence Topology behind Blades at Different Shape Qualities

Yanovych, Vitalii; Duda, Daniel; Uruba, Václav; Tomaskova, Tetjana

doi:10.3390/pr10030522

Cited by 10 publications

(6 citation statements)

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“…2) comes from the noise, not being a sign of ideal isotropic turbulence. The flow past an airfoil (such as turbine blade) is strongly anisotropic, as observed by other authors [24], [25] and by us as well [26] [27]. The size of coherent structures is quantified in terms of autocorrelation function in Fig.…”

Section: Anisotropymentioning

confidence: 56%

Preliminary results of PIV measurement past a stator wheel inside the VT-400 test turbine

et al. 2022

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The feasibility study of Particle Image Velocimetry (PIV) measurements inside a test turbine at the University of West Bohemia. The current VT-400 turbine is not prepared for optical measurement with seeding particles, thus several technical issues had to be addressed until low-quality data were obtained only at low speed of 2000 RPM (rounds per minute). Even the low quality data are able to show the fluctuation anisotropy or the size of fluctuation structures, which are quantities not measurable by classical pressure methods.

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Section: Anisotropymentioning

confidence: 56%

Preliminary results of PIV measurement past a stator wheel inside the VT-400 test turbine

et al. 2022

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“…What characterizes the smallest size of vortices which cause the dissipation of kinetic energy of the flow into heat. According to paper [14], the value of η can be found from the equation:…”

Section: Resultsmentioning

confidence: 99%

Turbulence topology behind different sections of the wind turbine blade

Yanovych

Duda²,

Uruba³

et al. 2022

MATEC Web Conf.

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This work aimed to investigate the turbulence characteristics behind different parts of the wind turbine blade. Airfoils S807, S813, S817, and S803, which characterize the shape of the blade at different lengths, were selected for estimation. During the experiment, the chord-based Reynolds number was 2.6×105, while the angle of attack was zero. Measuring crosssections were placed behind the trailing edge at x·c-1≈0.2, 0.4 and 1.0. For the determination flow topology, we used a Hotwire anemometry with a split fiber probe 55R55 and a miniature X-wire probe 55P64. The obtained data allowed us to determine and compare the evolution of the wake behind different types of airfoils in streamwise and spanwise directions. Thus, the largest and smallest velocity deficit located behind S817 and S803 airfoils, respectively. This trend is also evident in the Normalized Reynolds shear stress distributions. Finally, we determined the spectrum and calculated the Integral length scale, the Taylor and Kolmogorov microscale of turbulent flow. According to the results, profile S817 contributes to the formation of a flow with a large scale of turbulence, while the S803 is contrary.

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“…They were produced of polymerized lactic acid (PLA) by 3D printing technology using the PRUSA i3 printer. In the general case, at 3D printing, the manufactured models are characterized by high surface roughness Ra ≈ 21.8 μm [12,13]. Therefore, with the help of P2500 sandpaper with low abrasiveness, we have reduced the roughness to Ra ≈ 3~5 μm.…”

Section: Methodsmentioning

confidence: 99%

Drag Estimation in the Near Wake of the NREL's Airfoils Based on Hot-Wire Data

et al. 2022

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This paper presents the results of the drag coefficient estimations for different types of NREL airfoils based on the experimental data. Namely, it was S803, S807, S813, and S817 profiles with the same chord length. The investigations were conducted at three angles of attack α=0°, α=±5°, different chord-based Reynolds numbers 0.6×105, 1.3×105 and 2.6×105. While, measuring cross-sections were placed behind the trailing edge at x∙c−1≈0.2, 0.4 and 1.0. Experimental data were collected using a hot-wire split fiber probe 55R55, which allowed us to estimate the characteristics of turbulent flow in stream-wise and crosswise directions. According to the obtained results, the highest and lowest Cd values correspond to profiles S817 and S803, respectively. Moreover, the results show that more asymmetric profiles S803 and S807 have the lowest resistance at zero angles of attack. Research background: Application of Antonia and Rajagopalan methodology to drag assessment of various stream bodies. Purpose of the article: Comparative evaluation of the drag coefficients of the NREL airfoils based on instantaneous velocity distribution behind. Methods: Hot-wire anemometry with split fiber probe 55R55. Findings & Value added: The highest drag coefficient corresponds to the S817 profile. The asymmetry of the airfoil shape has a significant impact on its drag characteristics.

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Hot-Wire Investigation of Turbulence Topology behind Blades at Different Shape Qualities

Cited by 10 publications

References 50 publications

Preliminary results of PIV measurement past a stator wheel inside the VT-400 test turbine

Preliminary results of PIV measurement past a stator wheel inside the VT-400 test turbine

Turbulence topology behind different sections of the wind turbine blade

Drag Estimation in the Near Wake of the NREL's Airfoils Based on Hot-Wire Data

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