Performance optimization of adaptive cycle engine during subsonic climb

Xin Meng; Zhu Li Zhu; Min Chen

doi:10.1016/j.egypro.2019.01.377

Performance optimization of adaptive cycle engine during subsonic climb

Xin Meng
, Zhu Li Zhu
, Min Chen^*

^*此作品的通讯作者

能源与动力工程学院

Beihang University
Collaborative Innovation Center for Advanced Aero-Engine

科研成果: 期刊稿件 › 会议文章 › 同行评审

16 引用（Scopus）

摘要

Adaptive Cycle Engine is a candidate propulsion system for next generation fighters which can meet the multi-mission requirements of future air combat. Considering the performance requirements of fighter's climb mission, the engine performance is optimized in constraints by Genetic Algorithm. The climb results of the fighter, which are calculated with different engine performances, are also compared. The results show that the Adaptive Cycle Engine has better subsonic-climb performance than the conventional turbofan, and the optimization of variable geometric mechanisms can further improve its advantages.

源语言	英语
页（从-至）	1613-1619
页数	7
期刊	Energy Procedia
卷	158
DOI	https://doi.org/10.1016/j.egypro.2019.01.377
出版状态	已出版 - 2019
活动	10th International Conference on Applied Energy, ICAE 2018 - Hong Kong, 中国期限: 22 8月 2018 → 25 8月 2018

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@article{90608348d28340aaae52df74d4ca92a2,

title = "Performance optimization of adaptive cycle engine during subsonic climb",

abstract = "Adaptive Cycle Engine is a candidate propulsion system for next generation fighters which can meet the multi-mission requirements of future air combat. Considering the performance requirements of fighter's climb mission, the engine performance is optimized in constraints by Genetic Algorithm. The climb results of the fighter, which are calculated with different engine performances, are also compared. The results show that the Adaptive Cycle Engine has better subsonic-climb performance than the conventional turbofan, and the optimization of variable geometric mechanisms can further improve its advantages.",

keywords = "Adaptive Cycle Engine, Climb performance, Performance optimization",

author = "Xin Meng and Zhu, \{Zhu Li\} and Min Chen",

note = "Publisher Copyright: {\textcopyright} 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of ICAE2018 - The 10th International Conference on Applied Energy.; 10th International Conference on Applied Energy, ICAE 2018 ; Conference date: 22-08-2018 Through 25-08-2018",

year = "2019",

doi = "10.1016/j.egypro.2019.01.377",

language = "英语",

volume = "158",

pages = "1613--1619",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - Performance optimization of adaptive cycle engine during subsonic climb

AU - Meng, Xin

AU - Zhu, Zhu Li

AU - Chen, Min

N1 - Publisher Copyright: © 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of ICAE2018 - The 10th International Conference on Applied Energy.

PY - 2019

Y1 - 2019

N2 - Adaptive Cycle Engine is a candidate propulsion system for next generation fighters which can meet the multi-mission requirements of future air combat. Considering the performance requirements of fighter's climb mission, the engine performance is optimized in constraints by Genetic Algorithm. The climb results of the fighter, which are calculated with different engine performances, are also compared. The results show that the Adaptive Cycle Engine has better subsonic-climb performance than the conventional turbofan, and the optimization of variable geometric mechanisms can further improve its advantages.

AB - Adaptive Cycle Engine is a candidate propulsion system for next generation fighters which can meet the multi-mission requirements of future air combat. Considering the performance requirements of fighter's climb mission, the engine performance is optimized in constraints by Genetic Algorithm. The climb results of the fighter, which are calculated with different engine performances, are also compared. The results show that the Adaptive Cycle Engine has better subsonic-climb performance than the conventional turbofan, and the optimization of variable geometric mechanisms can further improve its advantages.

KW - Adaptive Cycle Engine

KW - Climb performance

KW - Performance optimization

UR - https://www.scopus.com/pages/publications/85063909783

U2 - 10.1016/j.egypro.2019.01.377

DO - 10.1016/j.egypro.2019.01.377

M3 - 会议文章

AN - SCOPUS:85063909783

SN - 1876-6102

VL - 158

SP - 1613

EP - 1619

JO - Energy Procedia

JF - Energy Procedia

T2 - 10th International Conference on Applied Energy, ICAE 2018

Y2 - 22 August 2018 through 25 August 2018

ER -

Performance optimization of adaptive cycle engine during subsonic climb

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