Image processing techniques for shock wave detection and Tracking in High Speed Schlieren and Shadowgraph Systems

Li, G., Agir, M. B. , Kontis, K. , Ukai, T. and Rengarajan, S. (2019) Image processing techniques for shock wave detection and Tracking in High Speed Schlieren and Shadowgraph Systems. Journal of Physics: Conference Series, 1215, 012021. (doi: 10.1088/1742-6596/1215/1/012021)

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Schlieren and shadowgraph photography has been widely used to offer insight into the flow field in aerospace engineering due to their ease of application. The high-speed schlieren and shadowgraph techniques are typically applied to investigation of unsteady shock wave structure including shock reflection patterns and shock wave/boundary layer interactions, etc. Generally, qualitative analysis is performed based on the schlieren and shadowgraph image sequences. To process and analyze the large data set of the high-speed schlieren and shadowgraph images quantitatively, especially for the shock wave detection and tracking, a software was developed based on MATLAB GUI and its image processing toolbox. In this study, the image processing techniques exploited in the software, such as background subtraction, filter, threshold, edge detection, and shock tracking are presented. A case study on the phenomena of shock wave reflection from a solid surface was conducted. The results show that the proper filter method and the background image subtraction can effectively eliminate the image noises in frequency domain, which makes it easier to analyze the flow structure. Moreover, the instantaneous locations of shock waves are detected accurately, and the shock wave propagation speed calculated using the developed software are consistent with those of previous studies.

Item Type:Articles
Additional Information:9th Asia Conference on Mechanical and Aerospace Engineering, 29–31 December 2018, Singapore
Glasgow Author(s) Enlighten ID:Li, Mr Guoshuai and Rengarajan, Dr Sriram and Agir, Muhammed Burak and Kontis, Professor Konstantinos and Ukai, Dr Takahiro
Authors: Li, G., Agir, M. B., Kontis, K., Ukai, T., and Rengarajan, S.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
Journal Name:Journal of Physics: Conference Series
Publisher:Institute of Physics Publishing Ltd.
ISSN (Online):1742-6596
Copyright Holders:Copyright © 2019 IOP Publishing
First Published:First published in Journal of Physics: Conference Series 1215:012021
Publisher Policy:Reproduced under a Creative Commons License

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