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: 10.4121/13649885

Douglas Neal; Barton Smith; Andrea Sciacchitano (2021): PIV uncertainty - Database of the turbulent region of a transitional jet. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/13649885.v1

Dataset

• Mechanical Engineering
• Aerospace Engineering

Aerodynamics, Fluid Mechanics, jet flow, Particle Image Velocimetry, PIV, Uncertainty quantification, Wind tunnel measurements

Data acquired in September 2013

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Douglas Neal , Barton Smith , Andrea Sciacchitano

Database of the turbulent region of a transitional jet. The data contain both the raw (tiff) images acquired with the measurement system (MS), as well as the exact displacement field evaluated via a High-Dynamic-Range (HDR) system. Different sets for the MS data have been acquired with variable seeding density and f-stop.A document containing all the information on the database is included.Part of the data contained in the database have been published in Neal et al (2015).

• 2021-01-29 first online, published, posted

4TU.ResearchData

tif images and dat files (plus png sample images)

Collaborative framework for PIV uncertainty quantification: the experimental database

• https://iopscience.iop.org/article/10.1088/0957-0233/26/7/074003

Delft University of Technology, Faculty of Aerospace Engineering
LaVision Inc
Utah State University, Mechanical and Aerospace Engineering