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Modeling and control schedule design of a two-dimensional thrust-vectoring nozzle and aeroengine

Published online by Cambridge University Press:  11 December 2020

Y. Liu
Affiliation:
School of Energy and Power Engineering, Beihang University, Beijing, China
M. Chen*
Affiliation:
School of Energy and Power Engineering, Beihang University, Beijing, China
H. Tang
Affiliation:
School of Energy and Power Engineering, Beihang University, Beijing, China
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Abstract

For advanced operational aircraft, the two-dimensional (2-D) thrust-vectoring (TV) nozzle effectively improves the flight mobility and post-stall manoevrability. However, its flow capacity decreases when deflecting and cooling air is injected, which impacts the engine’s operating state, including decreasing the fan surge margin and increasing the turbine inlet temperature. Therefore, in order to improve engine performance in the whole flight envelope, this paper studies the matching mechanism of the engine and the cooled 2-D TV nozzle, performance characterisation and control schedule of the nozzle, and an integrated aeroengine/nozzle modeling method is put forward. Based on these, an engine performance simulation model is modified to include a cooled 2-D TV nozzle. The testing results show that applying the nozzle control schedules recommended in this paper avoids the performance degradation when the nozzle deflects. This work advances the field of engine/nozzle integrated modeling, and helps to instruct the simulation and experimentation to better fit the needs of engine modeling and engineering applications.

Information

Type
Research Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of Royal Aeronautical Society
Figure 0

Figure 1. Sketch map of a 2-D TV nozzle.

Figure 1

Figure 2. Flowchart of research methodology.

Figure 2

Figure 3. Geometrical parameters of the 2-D TV nozzle (undeflected).

Figure 3

Figure 4. Geometrical parameters of the 2-D TV nozzle (downward deflected when $\beta $s remain positive).

Figure 4

Figure 5. Geometrical parameters of the 2-D TV nozzle (downward deflected when ${\beta _1}$ is negative).

Figure 5

Figure 6. 2-D TV nozzle cooling layout.

Figure 6

Figure 7. Fan surge margin variation with nozzle throat area decrease.

Figure 7

Figure 8. Increase of $T_4^*$ with cooling air extraction.

Figure 8

Figure 9. Decrease of fan/overall total pressure ratio with cooling air extraction.

Figure 9

Figure 10. Nozzle control and prediction algorithm in the unchoked state.

Figure 10

Figure 11. Nozzle control and prediction algorithm in the unchoked state with the afterburner unlit.

Figure 11

Figure 12. Nozzle control and prediction algorithm in the choked state with the afterburner lit.

Figure 12

Figure 13. Integrated aeroengine/nozzle modeling logic (with the afterburner unlit).

Figure 13

Figure 14. Integrated aeroengine/nozzle modeling logic (with the afterburner lit).

Figure 14

Figure 15. A demonstrative engine flight envelope.

Figure 15

Table 1 Demonstrative nozzle discharge coefficients with the afterburner unlit

Figure 16

Table 2 Demonstrative nozzle discharge coefficients with the afterburner lit

Figure 17

Table 3 Nozzle control parameters and engine performance under typical flight conditions

Figure 18

Figure 16. Demonstrative nozzle performance variation with ${\delta _g}$.

Figure 19

Figure 17. Demonstrative nozzle thrust variation with engine operating state.

Figure 20

Figure 18. Demonstrative nozzle thrust variation with Mach number.

Figure 21

Figure 19. Fan surge margin variation with ${\delta _g}$ in the maximum dry state.

Figure 22

Figure 20. Comparative fan surge margin variation with ${\delta _g}$ in the maximum wet state.