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Investigation on the opposing jet penetration mode transition mechanism in the hypersonic flow

Published online by Cambridge University Press:  21 June 2023

L. Long
Affiliation:
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, People’s Republic of China
B. Liu
Affiliation:
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, People’s Republic of China
Y.-s. Meng
Affiliation:
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, People’s Republic of China
W. Huang*
Affiliation:
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, People’s Republic of China
S.-b. Li
Affiliation:
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, People’s Republic of China
S.-s. Tian
Affiliation:
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, People’s Republic of China
*
Corresponding author: W. Huang; Email: gladrain2001@163.com
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Abstract

As an effective drag reduction and thermal protection technology, the opposing jet can guarantee the flight safety of the hypersonic vehicle. In this paper, the jet mode transition is realised by controlling the total jet pressure ratio value (PR) with a function. The jet mode transition from the long penetration mode (LPM) to the short penetration mode (SPM) uses an increasing function. However, the jet mode transition from SPM to LPM uses a decreasing function. The flow field reconstruction process of a two-dimensional axisymmetric blunt body model in the hypersonic flow is studied when the jet mode transition between SPM and LPM changes into each other. The flow field structures and wall parameters of the LPM and SPM transition processes are obtained. The results indicate that the drag and Stanton number both decrease in the transition stage from LPM to SPM, and this is beneficial for the improvement of the drag reduction and thermal protection effect. The peak values of drag and Stanton number fall by 36.39% and 46.40%, respectively. When the jet mode transforms from SPM to LPM, the Stanton number increases, and the drag force first increases and then decreases. However, the final drag reduction effect is not obvious. With the increase in the change rate of the total pressure ratio of the two jet transformation modes, the jet mode transition time is advanced, and the flow field changes more violently.

Information

Type
Research Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Royal Aeronautical Society
Figure 0

Figure 1. Blunt body with jet hole employed in the current study.

Figure 1

Figure 2. Computing grid for the current study.

Figure 2

Figure 3. Wall Stanton number distributions with different grid Reynolds numbers.

Figure 3

Figure 4. Pressure distributions with different grid Reynolds numbers.

Figure 4

Figure 5. Comparison of Stanton number distributions with different grid scales.

Figure 5

Figure 6. The increasing functions that control the total pressure ratio of the jet (k).

Figure 6

Figure 7. The reducing functions that control the total pressure ratio of the jet (−k).

Figure 7

Figure 8. Process of flow field variation of jet mode transition from LPM to SPM.

Figure 8

Figure 9. The pressure distributions at some typical moments on the symmetric axis (k).

Figure 9

Figure 10. The pressure distributions at moments (k).

Figure 10

Figure 11. Wall St distributions at moments (k).

Figure 11

Figure 12. St peaks with time for various k values.

Figure 12

Figure 13. Drag force with time for various k values.

Figure 13

Figure 14. Process of flow field variation of jet mode transition from SPM to LPM.

Figure 14

Figure 15. Pressure distributions at some typical moments on the symmetric axis (−k).

Figure 15

Figure 16. The pressure distributions at moments (−k).

Figure 16

Figure 17. Wall St distributions at moments (−k).

Figure 17

Figure 18. St peaks with time for various k values.

Figure 18

Figure 19. Drag force with time for various k values.