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.
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Accurate bundle adjustment calibration of multicamera volumetric velocimetry systems Jesse Belden, Naval Undersea Warfare Center |
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Error sources in three-dimensional microscopic light field particle image velocimetry Jonathon Pendlebury, Brigham Young University, United States |
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Quantification of uncertainty in a stereoscopic particle image velocimetry measurement Sayantan Bhattacharya, Purdue University, United States |
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The estimation and software implementation of PIV uncertainty Wing Lai, TSI Inc., United States |
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Validation and uncertainty framework for variable-density mixing experiments Brandon Wilson, Los Alamos National Laboratory, United States |