Effect of Manufacturing Inaccuracies on the Wake Past Asymmetric Airfoil by PIV

Daniel Duda, Vitalii Yanovych, Volodymyr Tsymbalyuk and Václav Uruba
Additional contact information
Daniel Duda: Faculty of Mechanical Engineering, University of West Bohemia, Univerzitní 22, 306 14 Pilsen, Czech Republic
Vitalii Yanovych: Faculty of Mechanical Engineering, University of West Bohemia, Univerzitní 22, 306 14 Pilsen, Czech Republic
Volodymyr Tsymbalyuk: Faculty of Mechanical Engineering, University of West Bohemia, Univerzitní 22, 306 14 Pilsen, Czech Republic
Václav Uruba: Faculty of Mechanical Engineering, University of West Bohemia, Univerzitní 22, 306 14 Pilsen, Czech Republic

Energies, 2022, vol. 15, issue 3, 1-27

Abstract: The effect of manufacturing geometry deviations on the flow past a NACA 64(3)-618 asymmetric airfoil is studied. This airfoil is 3D printed according to the coordinates from a public database. An optical high-precision 3D scanner, GOM Atos, measures the difference from the idealized model. Based on this difference, another model is prepared with a physical output closer to the ideal model. The velocity in the near wake (0–0.4 chord) is measured by using the Particle Image Velocimetry (PIV) technique. This work compares the wakes past three airfoil realizations, which differ in their similarity to the original design (none of the realizations is identical to the original design). The chord-based Reynolds number ranges from 1 . 6 × 10 4 to 1 . 6 × 10 5 . The ensemble average velocity is used for the determination of the wake width and for the rough estimation of the drag coefficient. The lift coefficient is measured directly by using force balance. We discuss the origin of turbulent kinetic energy in terms of anisotropy (at least in 2D) and the length-scales of fluctuations across the wake. The spatial power spectral density is shown. The autocorrelation function of the cross-stream velocity detects the regime of the von Karmán vortex street at lower velocities.

Keywords: particle image velocimetry; wake; 3D scanning; NACA 64-618; turbulent kinetic energy; spectrum (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/3/1227/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/3/1227/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:3:p:1227-:d:744340

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().