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Optimisation design of turbofan engine using infrared stealth technology

Published online by Cambridge University Press:  28 November 2022

M. Chen*
Affiliation:
Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China
H. Chen
Affiliation:
Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China
H. Zhang
Affiliation:
Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China
J. Luo
Affiliation:
Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China
*
*Corresponding author. Email: 1358025658@qq.com
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Abstract

To obtain the optimal solution for the performance of the turbofan engine using infrared stealth technology, an engine mathematical model with a backward infrared radiation intensity calculation module was established. The effects of infrared suppression measures on the performance of turbofan engines were analysed. Based on the multi-objective particle swarm optimisation (MOPSO) algorithm, the optimal solution for the performance in the cruise state of the reference engine refitted with the infrared radiation suppression module was obtained; Further, through the multiple design points (MDPs) concept, the thermal cycle optimisation design of the turbofan engine was carried out. The results show that the integrated fully shielded guiding strut (IFSGS) with air film cooling had the ideal infrared suppression effect. Compared with the reference engine refitted with infrared radiation suppression module, the engine after cycle optimisation design could obtain better infrared stealth performance.

Information

Type
Research Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Royal Aeronautical Society
Figure 0

Table 1. Definition of engine sections

Figure 1

Figure 1. Turbofan engine using infrared stealth technology.

Figure 2

Figure 2. IFSGS with air film holes5.

Figure 3

Figure 3. Air film holes on nozzle surface of F119 engine5.

Figure 4

Figure 4. Calculation flow of engine performance parameters.

Figure 5

Table 2. Performance requirements and design variable range under various operating conditions

Figure 6

Figure 5. The change of engine performance parameters with a single design variable.

Figure 7

Figure 6. Performance optimisation of the reference engine refitted with infrared suppression module in subsonic cruise state.

Figure 8

Figure 7. Performance optimisation of the reference engine refitted with infrared suppression module in supersonic cruise state.

Figure 9

Table 3. Performance parameter intervals corresponding to design domains of scheme 1

Figure 10

Table 4. Performance parameter intervals corresponding to design domains of scheme 2

Figure 11

Figure 8. Design domain partition.

Figure 12

Table 5. Design variables corresponding to design domains of scheme 1

Figure 13

Table 6. Design variables corresponding to design domains of scheme 2

Figure 14

Table 7. Comparison of optimisation design results

Figure 15

Figure 9. Optimal performance solution and corresponding design variables of scheme 1.

Figure 16

Figure 10. Optimal performance solution and corresponding design variables of scheme 2.

Figure 17

Table 8. Sensitivity analysis

Figure 18

Figure 11. Performance histogram of No. IX engine.