TY - GEN
T1 - Wavelet-based optical flow velocimetry (Wofv) applied to tagging velocimetry data
AU - Gevelber, T. S.
AU - Schmidt, B. E.
AU - Mustafa, M. A.
AU - Shekhtman, D.
AU - Parziale, N. J.
N1 - Publisher Copyright:
© 2021, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2021
Y1 - 2021
N2 - This paper presents the application of wavelet-based optical flow velocimetry (wOFV) to tagging velocimetry image data. wOFV is demonstrated to compare favorably to cross-correlation on experimental two-dimensional Krypton Tagging Velocimetry (KTV-2D) images from a Mach 2.75 turbulent shock wave-boundary layer interaction. Results from both methods show good agreement for the mean velocity field, while wOFV has several advantages compared to cross-correlation including increased spatial resolution as well as robustness and simplicity of implementation. The performance of wOFV on tagging velocimetry images is evaluated quantitatively using a set of synthetic data including images and specified velocity fields. wOFV is highly accurate in regions of the images near the intersection of write lines, with median error vector magnitudes below 5%. Errors in the instantaneous measurements of the velocity fluctuations and vorticity are higher, with median values between 20 and 50%.
AB - This paper presents the application of wavelet-based optical flow velocimetry (wOFV) to tagging velocimetry image data. wOFV is demonstrated to compare favorably to cross-correlation on experimental two-dimensional Krypton Tagging Velocimetry (KTV-2D) images from a Mach 2.75 turbulent shock wave-boundary layer interaction. Results from both methods show good agreement for the mean velocity field, while wOFV has several advantages compared to cross-correlation including increased spatial resolution as well as robustness and simplicity of implementation. The performance of wOFV on tagging velocimetry images is evaluated quantitatively using a set of synthetic data including images and specified velocity fields. wOFV is highly accurate in regions of the images near the intersection of write lines, with median error vector magnitudes below 5%. Errors in the instantaneous measurements of the velocity fluctuations and vorticity are higher, with median values between 20 and 50%.
UR - http://www.scopus.com/inward/record.url?scp=85100402800&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85100402800&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85100402800
SN - 9781624106095
T3 - AIAA Scitech 2021 Forum
SP - 1
EP - 13
BT - AIAA Scitech 2021 Forum
T2 - AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021
Y2 - 11 January 2021 through 15 January 2021
ER -