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Energy and performance optimization of an adaptive cycle engine for next generation combat aircraft

Author

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  • Aygun, Hakan
  • Cilgin, Mehmet Emin
  • Ekmekci, Ismail
  • Turan, Onder

Abstract

For next generation aircraft, Adaptive Cycle Engine (ACE) is a candidate to fulfill the multi-mission requirements of flight. This new concept is promising to complete deficiencies of conventional low by-pass mixed turbofan engines because the ACE model incorporates different thermodynamic cycles (turbojet and turbofan) on the same air vehicle system. Firstly, performance and design results of the ACE model are compared with those of fixed cycle low by-pass turbofan engine by using specific fuel consumption (SFC), specific thrust (ST), power and efficiency parameters. Moreover, verification of the newly developed ACE model is performed. Secondly, considering some design parameters, ST and SFC values of the ACE model are analyzed for double by-pass mode (DBM) and single by-pass mode (SBM). Considering performance analysis of the ACE, SFC value is determined as 17.85 g/kN.s at DBM and 42.18 g/kN.s at SBM. According to results of energy analysis, overall efficiency of the ACE is calculated as 23% for DBM and 9% for SBM whereas fixed cycle engine has 18% for military mode and 7% for afterburner mode. Finally, minimization of (SFC) is obtained with genetic algorithm approach. Based on the design variables such as by-pass ratio and turbine inlet temperature, minimum SFC value for the ACE model is calculated as 17.41 g/kN.s at DBM and 40.45 g/kN.s at SBM.

Suggested Citation

  • Aygun, Hakan & Cilgin, Mehmet Emin & Ekmekci, Ismail & Turan, Onder, 2020. "Energy and performance optimization of an adaptive cycle engine for next generation combat aircraft," Energy, Elsevier, vol. 209(C).
    • Handle: RePEc:eee:energy:v:209:y:2020:i:c:s0360544220313682
    DOI: 10.1016/j.energy.2020.118261
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    References listed on IDEAS

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    Citations

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    Cited by:

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    6. Karabacak, Mustafa & Kirmizi, Mehmet & Aygun, Hakan & Turan, Onder, 2023. "Application of exergetic analysis to inverted Brayton cycle engine at different flight conditions," Energy, Elsevier, vol. 283(C).
    7. Zhen, Man & Dong, Xuezhi & Shao, Dong & Liu, Xiyang & Tan, Chunqing, 2024. "Research on high fidelity modelling and optimum designing of an adaptive cycle engine's starting process," Energy, Elsevier, vol. 294(C).
    8. Jia, Xingyun & Zhou, Dengji, 2024. "Multi-variable anti-disturbance controller with state-dependent switching law for adaptive cycle engine," Energy, Elsevier, vol. 288(C).
    9. Wen, Jie & Wan, Chenxi & Xu, Guoqiang & Zhuang, Laihe & Dong, Bensi & Chen, Junjie, 2024. "Optimization of thermal management system architecture in hydrogen engine employing improved genetic algorithm," Energy, Elsevier, vol. 297(C).
    10. Kagan Ayaz, S. & Caliskan, Hakan & Altuntas, Onder, 2023. "Environmental and second law analysis of a turbojet engine operating with different fuels," Energy, Elsevier, vol. 285(C).
    11. Cai, Changpeng & Zheng, Qiangang & Wang, Yong & Chen, Haoying & Zhang, Haibo, 2024. "Predictive control method for mode transition process of multi-mode turbine engine based on onboard adaptive composite model," Energy, Elsevier, vol. 302(C).
    12. Wang, Busheng & Xuan, Yimin, 2023. "An integrated model for energy management of aero engines based on thermodynamic principle of variable mass systems," Energy, Elsevier, vol. 276(C).
    13. Wang, Busheng & Xuan, Yimin, 2024. "Heuristic deepening of aero engine performance analysis model based on thermodynamic principle of variable mass system," Energy, Elsevier, vol. 306(C).

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