Quantitative Density Measurement of the Interaction Field of Side Jet and Cross Flow by Colored-Grid Background Oriented Schlieren (CGBOS) Technique

2015 ◽  
pp. 495-500
Author(s):  
M. Ota ◽  
T. Inage ◽  
Y. Kikuma ◽  
H. Kawakami ◽  
Y. Miwa ◽  
...  
Keyword(s):  
Density Measurement ◽  
Cross Flow ◽  
Interaction Field ◽  
Background Oriented Schlieren

J0510202 Four-dimensional density measurement of lateral jet/cross flow interaction field by colored-grid background oriented Schlieren (CGBOS) technique

2015 ◽  
Vol 2015 (0) ◽  
pp. _J0510202--_J0510202-
Author(s):  
Ken KURIHARA ◽  
Keita AKI ◽  
Hiromichi ARIMOTO ◽  
Tatsuro INAGE ◽  
Masanori Ota ◽  
...  
Keyword(s):  
Density Measurement ◽  
Cross Flow ◽  
Interaction Field ◽  
Flow Interaction ◽  
Background Oriented Schlieren

scholarly journals Quantitative density measurement of M=2.0 suoersonic flow field around an asymmetric model using background oriented schlieren (BOS) technique

2009 ◽  
Vol 29-1 (2) ◽  
pp. 1309-1309
Author(s):  
Kenta HAMADA ◽  
Hiroko KATO ◽  
Ryusuke NODA ◽  
Masanori OTA ◽  
Kazuo MAENO
Keyword(s):  
Flow Field ◽  
Density Measurement ◽  
Asymmetric Model ◽  
Background Oriented Schlieren

scholarly journals Numerical Uncertainty in Density Estimation for Background Oriented Schlieren

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Jiacheng Zhang ◽  
Lalit Rajendran ◽  
Sally Bane ◽  
Pavlos Vlachos
Keyword(s):  
Density Gradient ◽  
Systematic Uncertainty ◽  
Density Measurement ◽  
Random Errors ◽  
Target Pattern ◽  
Density Estimates ◽  
Total Uncertainty ◽  
Spatially Resolved ◽  
Background Oriented Schlieren ◽  
Good Agreement

Background Oriented Schlieren (BOS) is an image-based density measurement technique. BOS estimates the density gradient from the apparent distortion of a target pattern viewed through a medium with varying density using cross-correlation, tracking, or optical flow algorithms. The density gradient can then be numerically integrated to yield a spatially resolved estimate of the density [1]. A method was recently proposed to estimate the a-posteriori instantaneous and spatially resolved density uncertainty for BOS [2] and showed good agreement between the propagated uncertainties and the random error. However, the density uncertainty quantification method could not account for the systematic uncertainty in the density field due to the discretization errors introduced during the numerical integration, which could be much larger than the displacement random errors [2]. In this work, we propose a method to estimate the numerical uncertainty introduced by the density integration in BOS measurements, using a Richardson extrapolation framework. A procedure is also introduced to combine this systematic uncertainty with the random uncertainty from the previous work to provide an instantaneous, spatially-resolved total uncertainty on the density  estimates. The method will be tested with synthetic fields and synthetic BOS images.

Sign in / Sign up

Export Citation Format

Share Document