Uncertainty amplification due to density/refractive index gradients in background oriented schlieren experiments

Listed in Datasets

Propose a model to describe the effect of density/refractive index gradients on reducing the measurement precision of background-oriented schlieren (BOS) experiments by deriving the Cramer–Rao lower bound (CRLB) for the 2D centroid estimation...

Additional materials available

Version 1.0 - published on 26 Jun 2020 doi:10.4231/DV5G-5186 - cite this Content may change until committed to the archive on 26 Jul 2020

Licensed under CC0 1.0 Universal

Lalit-CRLB-graphical-abstract.png

Description

Background-Oriented Schlieren (BOS) is a technique used to measure fluid density from the apparent distortion of a target dot pattern. In this work we model how non-linearities in the density gradient fields that can be present in flows with shocks, boundary layers etc., can blur the dot pattern image and increase the position uncertainty. A concept called the Cramer-Rao lower bound (CRLB) from the field of parameter estimation is used to develop this model. A parameter termed the Amplification Ratio () is proposed that describes the ratio of position uncertainties of a dot in the reference (no-flow) and gradient (with flow) images and is shown to be a function of the ratio of the dot diameters and dot intensities. The uncertainty amplification is demonstrated on synthetic and experimental BOS images, where it is seen that regions of high amplification ratio correspond to regions of density gradients. This analysis elucidates the dependence of the position uncertainty on density and refractive-index gradient induced distortion parameters, provides a methodology for accounting its effect on uncertainty quantification and provides a framework for optimizing experiment design.

Cite this work

Researchers should cite this work as follows:

Tags

The Purdue University Research Repository (PURR) is a university core research facility provided by the Purdue University Libraries, the Office of the Executive Vice President for Research and Partnerships, and Information Technology at Purdue (ITaP).