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

被引:37
作者
Aygun, Hakan [1 ]
Cilgin, Mehmet Emin [1 ]
Ekmekci, Ismail [2 ]
Turan, Onder [1 ]
机构
[1] Eskisehir Tech Univ, Fac Aeronaut & Astronaut, Eskisehir, Turkey
[2] Istanbul Commerce Univ, Fac Engn, Ind Dept, Istanbul, Turkey
关键词
Adaptive cycle; Energy; Turbofan; Military aircraft; Optimization; GENETIC ALGORITHM; NEURAL-NETWORK;
D O I
10.1016/j.energy.2020.118261
中图分类号
O414.1 [热力学];
学科分类号
摘要
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. (C) 2020 Elsevier Ltd. All rights reserved.
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页数:18
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