September 19, 2018
September 19, 2018
Speaker: Dr. Barton Smith
Utah State University
Title: The Uncertainty of Particle Image Velocimetry Data
Location: Easton Hub Auditorium
Fiber Optics Building
Time: 3:30 p.m. to 4:30 p.m.
Abstract: Particle Image Velocimetry (PIV) is a powerful, unobtrusive, full-field fluid velocity measurement technique. Unfortunately, PIV suffers from myriad error sources, many of which were unquantified until recently. The presentation builds upon recent work by USU and others that have successfully quantified the a posteriori random uncertainty of two-component PIV, which is a major part of the problem. This presentation will present 1) work on contributions of systematic uncertainty of velocity due to calibration, 2) systematic errors on Reynolds stresses due to random errors in the velocity data, and 3) random uncertainty of the mean for data that are correlated to one another. The last topic is not specific to PIV but has become of interest to the PIV community as the field has moved toward time-resolved (i.e. correlated) measurements to reduce the random errors in the measurements
Bio: Barton Smith is a Professor of Mechanical and Aerospace Engineering at Utah State University (USU) in Logan, Utah having joined the faculty in 2001. He holds a BSME (1990) from Michigan State University and a PhD ME from Georgia Institute of Technology (1999), specializing in flow control using synthetic jets. After his PhD, he was a post-doctoral researcher at Los Alamos National Laboratory where he studied oscillating flows. His recent work at USU has focused on measurement uncertainty focused mostly on PIV as well as CFD validation benchmark experiments.
For additional information, please contact Professor Edward DeMauro at email@example.com or 848-445-4763.