Non-invasive methods for flow velocity measurements have been continuously increasing in popularity and prevalence across all areas of experimental fluid mechanics and with applications that range from academic research and industrial product development, all the way to medical diagnostics. Such velocity measurements are frequently used for investigating physical principles, for the validation of computational models, and even for informing decision processes in industrial or government programs. Hence, it is of increasing and paramount importance that the uncertainty of such measurements is rigorously quantified and documented.

However, such measurements often rely on a combination of instrumentation components, sophisticated data reduction methods and numerous user inputs. As a result, elemental uncertainties from the various sources within the instrumentation chain are often correlated and they are difficult to quantify and to propagate, creating previously unrecognized or unexplored measurement uncertainty quantification challenges.

The objective of this symposium is to stimulate discussion and contributions addressing the challenges of quantifying uncertainty in non-invasive flow velocimetry methods. Papers are sought that address the uncertainty quantification and propagation from any one such method and from any of the potential error sources. Also contributions addressing the proper framework for the use of such data for the validation of computational models or decision systems are encouraged.

Schedule

Subscribe to RSS Feed

Accurate bundle adjustment calibration of multicamera volumetric velocimetry systems

Jesse Belden, Naval Undersea Warfare Center

Error sources in three-dimensional microscopic light field particle image velocimetry

Jonathon Pendlebury, Brigham Young University, United States
Tadd Truscott, Brigham Young University, United States
Jesse Belden, Naval Undersea Warfare Center, United States
Bryce McEwen, NAVAIR, United States

Quantification of uncertainty in a stereoscopic particle image velocimetry measurement

Sayantan Bhattacharya, Purdue University, United States
Pavlos Vlachos, Purdue University, United States

The estimation and software implementation of PIV uncertainty

Wing Lai, TSI Inc., United States
Dan Troolin, TSI Inc., United States
Stamatios Pothos, TSI Inc., United States
Dan Bissell, TSI Inc., United States
Matt Stegmeir, TSI Inc., United States

Validation and uncertainty framework for variable-density mixing experiments

Brandon Wilson, Los Alamos National Laboratory, United States
John Charonko, Los Alamos National Laboratory, United States
Kathy Prestridge, Los Alamos National Laboratory, United States