2022
DOI: 10.3390/en15249566
|View full text |Cite
|
Sign up to set email alerts
|

Hilbert-Optic Diagnostics of Hydrogen-Oxygen Inverse Diffusion Flame

Abstract: The aim of this work is to adapt the methods of optical Hilbert diagnostics for the visualization and study of inverse diffusion H2/O2 flame. The diagnostic complex is implemented on the basis of the IAB-451 device with modified optical filtering. Visualization of phase perturbations induced by the studied medium in a probing multiwave light field is performed via polychromatic Hilbert and Foucault-Hilbert transformations in combination with registration and RGB-per-pixel processing of the dynamic structure of… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
0
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 19 publications
0
0
0
Order By: Relevance
“…The pixel size in the image corresponded to 1/30 mm when registering the optical signal in the experiments [3,4]. Therefore, the number of samples 𝑁 = 1801 in the interval [−𝑟 0 , 𝑟 0 ].…”
Section: Algorithm Application On the Test Function Examplementioning
confidence: 99%
See 1 more Smart Citation
“…The pixel size in the image corresponded to 1/30 mm when registering the optical signal in the experiments [3,4]. Therefore, the number of samples 𝑁 = 1801 in the interval [−𝑟 0 , 𝑟 0 ].…”
Section: Algorithm Application On the Test Function Examplementioning
confidence: 99%
“…The Hilbert diagnostics results of reacting jets were previously presented in [3,4]. The possibility of polychromatic Hilbert visualization of phase optical density fields with temperature profile measurement in selected sections of the medium under study is shown using the example of an axisymmetric hydrogen-air diffusion flame and a candle flame using the Abel transform.…”
Section: Introductionmentioning
confidence: 99%