Locating the Isolator Shock-Train Leading Edge with Limited Pressure Information

2021 ◽  
pp. 1-17
Author(s):  
Gregory J. Hunt ◽  
Robin L. Hunt
Keyword(s):  
Leading Edge ◽  
Shock Train

A method for shock train leading edge detection based on differential pressure

2016 ◽  
Vol 231 (1) ◽  
pp. 61-71 ◽  
Author(s):  
B Xiong ◽  
Z-G Wang ◽  
X-Q Fan ◽  
Y Wang
Keyword(s):  
Standard Deviation ◽  
Edge Detection ◽  
Detection Method ◽  
Pressure Ratio ◽  
Leading Edge ◽  
Differential Pressure ◽  
Shock Train ◽  
Pressure Method ◽  
Operational Application ◽  
Deviation Method

In order to make the shock train leading edge detection method more possible for operational application, a new detection method based on differential pressure signals is introduced in this paper. Firstly, three previous detection methods, including the pressure ratio method, the pressure increase method, and the standard deviation method, have been examined whether they are also applicable for shock train moving at different speeds. Accordingly, three experimental cases of back-pressure changing at different rates were conducted in this paper. The results show that the pressure ratio and the pressure increase method both have acceptable detection accuracy for shock train moving rapidly and slowly, and the standard deviation method is not applicable for rapid shock train movement due to its running time window. Considering the operational application, the differential pressure method is raised and tested in this paper. This detection method has sufficient temporal resolution for rapidly and slowly shock train moving, and can make a real-time detection. In the end, the improvements brought by the differential pressure method have been discussed.

scholarly journals Numerical Investigation of the Shock Train in a Scramjet with the Effects of Back-Pressure and Divergent Angles

2020 ◽  
Author(s):  
Santhosh Kumar Gugulothu ◽  
B. Bhaskar ◽  
V.V. Phani Babu
Keyword(s):  
Shock Wave ◽  
Transport Model ◽  
Wave Train ◽  
Leading Edge ◽  
Single Step ◽  
Back Pressure ◽  
Divergence Angle ◽  
Shock Train ◽  
Navier Stokes Equation ◽  
Ansys Fluent

Numerical simulations are carried out to study the effect of divergence angle and adverse pressure gradient on the movement of shock wave train in a scramjet isolator. The commercial software tool ANSYS Fluent 16 was used to simplify two dimensional Reynolds averaged Navier Stokes equation with compressible fluid flow by considering the density-based solver with standard K-ε turbulence model. The species transport model with single step volumetric reaction mechanism is employed. Initially, the simulated results are validated with experimental results available in open literature. The obtained results show that the variation of the divergence angle and back pressure on the scramjet isolator has greater significance on the flow field. Also, with an increase in the back pressure, due to the intense turbulent combustion, the shock wave train developed should expand along the length and also moves towards the leading edge of the isolator leading to rapid rise in the pressure so that the pressure at the entrance of the isolator can match the enhanced back pressures.

Shock Train Leading Edge Detection in a Dual-Mode Scramjet

2006 ◽  
Author(s):  
Daniel Le ◽  
Christopher Goyne ◽  
Roland Krauss ◽  
James McDaniel
Keyword(s):  
Edge Detection ◽  
Leading Edge ◽  
Shock Train ◽  
Dual Mode

Shock Train Leading-Edge Detection in a Dual-Mode Scramjet

2008 ◽  
Vol 24 (5) ◽  
pp. 1035-1041 ◽  
Author(s):  
D. B. Le ◽  
C. P. Goyne ◽  
R. H. Krauss
Keyword(s):  
Edge Detection ◽  
Leading Edge ◽  
Shock Train ◽  
Dual Mode

Flowfield Reconstruction and Shock Train Leading Edge Detection in Scramjet Isolators

AIAA Journal ◽  
2020 ◽  
Vol 58 (9) ◽  
pp. 4068-4080 ◽  
Author(s):  
Chen Kong ◽  
Juntao Chang ◽  
Yunfei Li ◽  
Nan Li
Keyword(s):  
Edge Detection ◽  
Leading Edge ◽  
Shock Train

Scramjet Isolator Shock-Train Leading-Edge Position Modeling Based on Equilibrium Manifold

2015 ◽  
Vol 28 (2) ◽  
pp. 04014064 ◽  
Author(s):  
Jichao Hu ◽  
Juntao Chang ◽  
Bin Qin ◽  
Lei Wang ◽  
Wen Bao ◽  
...  
Keyword(s):  
Leading Edge ◽  
Shock Train ◽  
Equilibrium Manifold
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