2022
DOI: 10.1051/epjconf/202226401034
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Quantitative Schlieren imaging based on fringe projection

Abstract: An effective yet simple quantitative synthetic Schlieren imaging technique is presented in this paper. A multiplexed fringe pattern displayed on a common laptop screen is observed through a disturbed medium resulting in a change of the fringe pattern. Fourier analysis of such pattern provides high-resolution and almost real time measurement of rays’ deflection due to the medium refractive index variation. The developed technique was applied for measurement of a compressible fluid discharge from a narrow channe… Show more

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Cited by 2 publications
(4 citation statements)
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“…The FOV of the proof-of-concept system is currently set to 26 26 mm , restricted by the telecentric lens. Note, however, that schlieren based on intensity-modulation can be used to visualize larger objects 34 , as demonstrated in Fig. S4, where the FOV is 110 110 mm and Supplementary video 2 and 3 .…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The FOV of the proof-of-concept system is currently set to 26 26 mm , restricted by the telecentric lens. Note, however, that schlieren based on intensity-modulation can be used to visualize larger objects 34 , as demonstrated in Fig. S4, where the FOV is 110 110 mm and Supplementary video 2 and 3 .…”
Section: Methodsmentioning
confidence: 99%
“…In this paper we present, to the best of our knowledge, the first demonstration of illumination-based schlieren videography, where the frame rate is governed by the pulse duration of the light source alone. The presented approach is based on an intensity modulation-scheme, which is a versatile optical method that is used for several different imaging applications, such as topography 31 , super-resolution microscopy 32 , schlieren 19,20,33,34 , interferometry 35,36 and thermometry 37 . Here we combine its ability to provide schlieren images through phasesensitive analysis 20 with its ability to optically multiplex temporally separated image data 28,[38][39][40] into a powerful imaging concept.…”
mentioning
confidence: 99%
“…Generally, a random dot pattern becomes a background pattern in BOS imaging [1,2]. However, implementing BOS imaging is also recently considering an application with periodic pattern types as the background [13,14].…”
Section: Introductionmentioning
confidence: 99%
“…However, all literature uses the random dot as the background and the digital image correlation (DIC) as the image processing algorithm without including uncertainty evaluation. Using a random dot in BOS imaging introduces an inhomogeneous distribution in the background plane [13,14], and the dot can experience a shape distortion due to large density gradients [17]. In addition, the DIC algorithm also has drawbacks, for example, assuming that the displacement image is approximately constant.…”
Section: Introductionmentioning
confidence: 99%