| 进气畸变下风扇叶型多目标优化（英文） |
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| 引用本文： | 陈梦羽,鹿哈男,潘天宇,李秋实. 进气畸变下风扇叶型多目标优化（英文）[J]. 风机技术, 2019, 0(1): 1-10,I0008 |
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| 作者姓名： | 陈梦羽 鹿哈男 潘天宇 李秋实 |
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| 作者单位： | National Key Laboratory of Science and Technology on Aero-Engine Aero-Thermodynamics;Collaborative Innovation Center of Advanced Aero-Engine;Chengdu Aircraft Industrial （Group） Co. |
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| 基金项目： | China Postdoctoral Science Foundation(Nos.2018T110033 and 2018M641150) |
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| 摘 要： | BLI(Boundary Layer Ingestion)推进系统能显著降低飞机耗油率,但会随之带来风扇进气畸变问题,并严重影响其气动性能。为降低进气畸变条件下风扇叶型的损失并提高其抗畸变能力,选取某可控扩散叶型CDA(controlled diffusion airfoil)为研究对象,以最小化叶型损失和损失对攻角的敏感性为优化目标,通过多目标遗传算法MOGA(Multi-objective genetic algorithm)结合BP(Back-Propagation)神经网络对叶型进行多目标优化。经过优化,得到了在进气畸变条件下有较好气动性能的风扇叶型。与初始叶型相比,叶型在正攻角下的损失显著降低,同时其损失对攻角的敏感性降低了32%,低总压损失范围拓宽了21%。
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| 关 键 词： | INLET DISTORTION FAN AIRFOIL Profile Loss MULTI-OBJECTIVE Optimization |
Multi-objective Optimization of a Fan Airfoil Adaptive for the Inlet Distortion |
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| Meng-yu Chen,Ha-nan Lu,Tian-yu Pan,Qiu-shi Li. Multi-objective Optimization of a Fan Airfoil Adaptive for the Inlet Distortion[J]. Compressor Blower & Fan Technology, 2019, 0(1): 1-10,I0008 |
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| Authors: | Meng-yu Chen Ha-nan Lu Tian-yu Pan Qiu-shi Li |
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| Abstract: | Meng-yu Chen;Ha-nan Lu;Tian-yu Pan;Qiu-shi Li |
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| Keywords: | Inlet Distortion FanAirfoil Profile Loss Multi-objective Optimization |
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