Abstract
This work describes a way to deduce the 3D density gradient field using a set of focusing schlieren images taken close to each other. Focusing schlieren gives density gradient information corresponding to a narrow focal plane. However, it still contains contributions from adjacent planes, and it depends on the focusing optics. This work used 3D deconvolution algorithm to solve this problem. The point spread function (PSF) of the optical system is estimated experimentally, and the noise is modeled statistically. The deconvolution results show that the contribution from adjacent planes is minimized, and thus this tomographic approach can lead to better understanding of 3D compressible flows.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
A. Kantrowitz, R.L. Trimpi, A sharp focusing schlieren system. J. Aeronaut. Sci. 17, 311–314 (1950)
G. Dixon-Lewis, G.L. Isles, Sharp focusing schlieren systems for studies of flat flames. J. Sci. Instrum. 39, 148–151 (1962)
C. Solomon, T. Breckon, Fundamentals of Digital Image Processing (John Wiley & Sons Ltd, UK, 2010)
J.B. Pawley, Handbook of Biological Confocal Microscopy, 3rd edn. (Springer Science+Business Media, LLC, New York, 2006), chapter 25
R.C. Gonzalez, R.E. Woods, S.L. Eddins, Digital Image Processing Using Matlab, 2nd edn. (McGraw Hill Education (India) Private Limited, John Wiley & Sons Ltd, UK, 2010), chapter 4
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Vaisakh, S., Muruganandam, T.M. (2019). Schlieren Tomography to Visualize Three-Dimensional Supersonic Flows. In: Sasoh, A., Aoki, T., Katayama, M. (eds) 31st International Symposium on Shock Waves 1. ISSW 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-91020-8_48
Download citation
DOI: https://doi.org/10.1007/978-3-319-91020-8_48
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-91019-2
Online ISBN: 978-3-319-91020-8
eBook Packages: EngineeringEngineering (R0)