Creator
- Lalit Rajendran, 0000-0002-5673-6063 3
- Pavlos Vlachos, 0000-0002-8040-9257 2
- Sally P M Bane 2
- Jiacheng Zhang, 0000-0002-9027-6531 1
- Sayantan Bhattacharya 1
Type
- Dataset 3
Date
subject: Aeronautics and Astronautics Engineering subject: background oriented schlieren
Total is 3 Results
PIV/BOS synthetic image generation in variable density environments for error analysis and experiment design
10.4231/P45Z-8361
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
,
Pavlos Vlachos
,
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
Uncertainty quantification in density estimation from background oriented schlieren (BOS) measurements
10.4231/D2FC-N191
Jiacheng Zhang
,
Lalit Rajendran
,
Pavlos Vlachos
,
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
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