Correlation analysis of separation shock oscillation and wall pressure fluctuation in unstarted hypersonic inlet flow

Wang, C., Yang, X., Xue, L., Kontis, K. and Jiao, Y. (2019) Correlation analysis of separation shock oscillation and wall pressure fluctuation in unstarted hypersonic inlet flow. Aerospace, 6(1), 8. (doi: 10.3390/aerospace6010008)

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Abstract

The flow field in a hypersonic inlet model at a design point of M = 6 has been studied experimentally. The focus of the current study is to present the time-resolved flow characteristics of separation shock around the cowl and the correlation between the separation shock oscillation induced by the unstart flow and the wall pressure fluctuation when the inlet is in a state of unstart. High-speed Schlieren flow visualization is used to capture the transient shock structure. High-frequency pressure transducers are installed on the wall around both the cowl and isolator areas to detect the dynamic pressure distribution. A schlieren image quantization method based on gray level detection and calculation is developed to analyze the time-resolved spatial structure of separation shock. Results indicate that the induced separation shock oscillation and the wall pressure fluctuation are closely connected, and they show the same frequency variation characteristics. The unsteady flow pattern of the “little buzz” and “big buzz” modes are clarified based on time-resolved Schlieren images of separation shock. Furthermore, the appropriate location of the pressure transducers is determined on the basis of the combined analysis of fluctuating wall-pressure and oscillating separation shock data.

Item Type:Articles
Additional Information:Funding: The National Natural Science Foundation of China (51776096 and 51476076), the Aeronautical Science Foundation of China (20161252009), the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Kontis, Professor Konstantinos
Authors: Wang, C., Yang, X., Xue, L., Kontis, K., and Jiao, Y.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
Journal Name:Aerospace
Publisher:MDPI
ISSN:2226-4310
ISSN (Online):2226-4310
Copyright Holders:Copyright © 2019 The Authors
First Published:First published in Aerospace 6(1):8
Publisher Policy:Reproduced under a Creative Commons License

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