Figures created during the work on "Design of experiments: a statistical tool for PIV uncertainty quantification"

doi:10.4121/20496108.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/20496108
Datacite citation style:
Sagar Adatrao; Simone van der Velden; Mark-Jan van der Meulen; Marc Cruellas Bordes; Andrea Sciacchitano (2022): Figures created during the work on "Design of experiments: a statistical tool for PIV uncertainty quantification". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20496108.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

 This dataset contains figures created during the work on "Design of experiments: a statistical tool for PIV uncertainty quantification". The proposed UQ approach is applied to estimate the uncertainties in time-averaged velocity and Reynold normal stresses in planar PIV measurements of the flow over a NACA0012 airfoil. The approach is also used to the investigation by stereoscopic PIV of the flow at the outlet of a ducted Boundary Layer Ingesting (BLI) propulsor. The figures in this dataset show the results from these two experimental cases.  

history
  • 2022-09-29 first online, published, posted
publisher
4TU.ResearchData
format
.tif (accessed using image viewer e.g. paint), .fig (accessed using MATLAB), .xslx (accessed using Microsoft Excel)
funding
  • Dutch Research Organization NWO domain Applied and Engineering Sciences, 15854
organizations
1. Faculty of Aerospace Engineering, Delft University of Technology, The Netherlands.
2. Royal Netherlands Aerospace Centre (NLR), Marknesse, The Netherlands.
3. German-Dutch Wind Tunnels (DNW), Marknesse, The Netherlands.

DATA

files (15)