Datasets

subject: Aeronautics and Astronautics Engineering creator: Lalit Rajendran, 0000-0002-5673-6063

Total is 3 Results
Uncertainty quantification in density estimation from background oriented schlieren (BOS) measurements

10.4231/D2FC-N191

Jiacheng Zhang ORCID logo , Lalit Rajendran ORCID logo , Pavlos Vlachos ORCID logo , Sally P M Bane , Sayantan Bhattacharya

05/18/2021

We present an uncertainty quantification methodology for density estimation from background-oriented Schlieren (BOS) measurements, in order to provide local, instantaneous, a posteriori uncertainty bounds on each density measurement in the field...

Aeronautics and Astronautics Engineering background oriented schlieren Numerical Analysis Python uncertainty quantification

PIV/BOS synthetic image generation in variable density environments for error analysis and experiment design

10.4231/P45Z-8361

Lalit Rajendran ORCID logo

08/26/2020

Ray tracin based image generation methodology to render realistic images of particle image velocimetry (PIV) and background oriented schlieren (BOS) experiments in the presence of density/refractive index gradients.

Aeronautics and Astronautics Engineering background oriented schlieren cuda particle image velocimetry Python ray tracing

Dot tracking methodology for background-oriented schlieren (BOS)

10.4231/X101-WK63

Lalit Rajendran ORCID logo , Pavlos Vlachos ORCID logo , Sally P M Bane

05/18/2021

A dot tracking method to process BOS images that improves the accuracy, precision, and spatial resolution of the measurements

Aeronautics and Astronautics Engineering background oriented schlieren image processing Matlab particle tracking velocimetry

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