航空发动机风扇转叶弯掠优化及气动特性分析

中国民航大学学报 ›› 2020, Vol. 38 ›› Issue (2): 7-12.

航空发动机风扇转叶弯掠优化及气动特性分析

白杰^a，熊碰^b，史磊^b

（中国民航大学a. 航空工程学院；b. 中欧航空工程师学院，天津300300）

出版日期:2020-04-25 发布日期:2020-05-13
作者简介:白杰（1963—），男，天津人，教授，研究方向为航空发动机适航理论与技术.
基金资助:
中国民航大学科研启动基金项目（2017QD01S）

Lean and sweep optimization for aero-engine fan blades and aerodynamic characteristics analyses

BAI Jie^a, XIONG Peng^b, SHI Lei^b

（a. College of Aeronautical Engineering; b. Sino-European Institute of Aviation Engineering, CAUC, Tianjin 300300, China）

Online:2020-04-25 Published:2020-05-13

摘要/Abstract

摘要： 对某航空发动机风扇转子叶片物理模型进行弯掠优化设计，改善在设计工况下的总压比和等熵效率以提高发动机整体性能。利用定常数值模拟方法完成计算网格的无相关性检查并采用动叶80 万网格方案验证风扇计算模型的有效性。选择贝塞尔曲线对风扇动叶的积叠线进行拟合，通过参数控制叶片积叠线的周向弯和轴向掠曰以风扇设计点总压比和等熵效率为目标函数，使用人工神经网络和遗传算法相结合的组合优化算法，对风扇动叶弯掠参数进行自动寻优。风扇叶片弯掠改型使设计点总压比提高了0.18%，等熵效率提高了0.71%。实验结果表明：调整叶片沿展向和弦向的静压分布，可减小叶尖泄漏损失和端壁损失，提高风扇在设计点的气动性能。

关键词: 风扇叶片, 弯掠叶片, 航空发动机, 气动性能

Abstract: The lean and sweep on the fan rotor of one aero-engine is optimized based on numerical model to improve the total pressure ratio and isentropic efficiency and ameliorate the overall performance of the engine under design conditions. Steady numerical simulation is implemented to analyze the grid independence and verify the effectiveness of the model employing 800 000 gridding plan of fan rotor. The stacking line is fitted by Bezier curve, controlling its lean and sweep with parameters; Taking total pressure ratio and isentropic efficiency at the design point as objective functions, automatic optimization is completed using artificial neural network and genetic algorithm. Comparing with the original model, the total pressure ratio and isentropic efficiency have been increased respectively by 0.18% and 0.71%. The static pressure distribution along the span and chord direction
are adjusted, reducing the tip loss and end wall loss and improving the fan aerodynamic performance at the design point.

Key words: fan blades, lean and sweep blades, aero-engine, aeronautical performance

中图分类号:

V232.4

白杰, 熊碰, 史磊. 航空发动机风扇转叶弯掠优化及气动特性分析[J]. 中国民航大学学报, 2020, 38(2): 7-12.

BAI Jie, XIONG Peng, SHI Lei. Lean and sweep optimization for aero-engine fan blades and aerodynamic characteristics analyses[J]. Journal of Civil Aviation University of China, 2020, 38(2): 7-12.

参考文献 14

[1]	SASAKI T, BREUGELMANS F. Comparison of sweep and dihedral effects on compressor cascade performance[J]. Journal of Turbomachinery,1998, 120(3): 454-463.
[2]	DENTON J D, XU L. The effects of lean and sweep on transonic fan performance[C]//ASME Turbo Expo 2002: Power for Land, Sea, and Air,Amsterdam, Netherlands, Jun 3-6, 2002: 23-32.
[3]	HAH C, WENNERSTROM A J. Three-dimensional flow-fields inside a transonic compressor with swept blades[J]. Journal of Turbomachinery,1991, 113(2): 241-250.
[4]	LAW C H, WADIA A R. Low aspect ratio transonic rotors: part 1-baseline design and performance[J]. Journal of Turbomachinery, 1993, 115(2): 218-225.
[5]	SEO S J, CHOI S M, KIM K Y. Design optimization of a low-speed fan blade with sweep and lean[J]. Journal of Power and Energy, 2008, 222(1): 87-92.
[6]	BAMBERGER K, CAROLUS T. Optimization of axial fans with highly swept blades with respect to losses and noise reduction[J]. Noise Control Engineering Journal, 2012, 60(6): 716-725.
[7]	LI YANG, LIU JIE, OUYANG HUA, et al. Internal flow mechanism and experimental research of low pressure axial fan with forward-skewed blades[J]. Journal of Hydrodynamics, 2008, 20(3): 299-305.
[8]	HURAULT J, KOUIDRI S, BAKIR F, et al. Experimental and numerical study of the sweep effect on three-dimensional flow downstream of axial flow fans[J]. Flow Measurement and Instrumentation, 2010, 21(2): 155-165.
[9]	WANG ZHONGQI, XU WENYUAN, HAN WANJIN, et al. An experimental investigation into the reasons of reducing secondary flow losses by using leaned blades in rectangular turbine cascades with incidence angle[C]//ASME 1988 International Gas Turbine and Aeroengine Congress and Exposition, Amsterdam, Netherlands, June 6-9, 1988: 1-7.
[10]	陈浮,宋彦萍,冯国泰,等.掠叶片对压气机叶栅流场性能的影响[J].工程热物理学报,2003, 24(4): 586-588.
[11]	毛明明. 跨声速轴流压气机动叶弯和掠的数值研究[D]. 哈尔滨：哈尔滨工业大学, 2008.
[12]	毛明明, 宋彦萍, 王仲奇. 跨音轴流压气机动叶的三维弯掠设计研究[J]. 动力工程学报, 2008, 28(1): 58-63.
[13]	宋召运, 刘波, 张鹏, 等. 弯掠优化对高负荷跨声速串列转子的影响分析[J]. 推进技术, 2018, 39(1): 23-32.
[14]	茅晓晨, 刘波, 张国臣, 等. 复合弯掠优化对跨声速压气机性能影响的研究[J]. 推进技术, 2015, 36(7): 996-1004.

[1]	董科强 a, b, 刘敬娜 b. 基于顺序熵的时间序列复杂性分析[J]. 中国民航大学学报, 2026, 44(1): 91-96.
[2]	张莹 , 王泽华 , 梁帅 , 罗睿敏 , , 王旭 . T 型件激光熔覆的数值模拟 [J]. 中国民航大学学报, 2025, 43(4): 29-35.
[3]	何振鹏 , 赵福星 , 辛佳 , 黎柏春 , 葛畅 , 刘鸿宇 , 刘泉 . 基于混合现实的航空发动机辅助维修学习系统 [J]. 中国民航大学学报, 2025, 43(4): 43-49.
[4]	黄帅, 高明, 黄敏, 高晨竣, 关雪飞. 航空发动机涡轮盘定寿及可靠性评估方法综述[J]. 中国民航大学学报, 2024, 42(4): 1-16.
[5]	曹惠玲, 成宝荣. 基于SelBagging算法的CFM56-7B发动机故障诊断[J]. 中国民航大学学报, 2022, 40(6): 18-23.
[6]	王志国. 航空发动机典型弯管的模态分析[J]. 中国民航大学学报, 2022, 40(6): 24-31.
[7]	吴晶峰, 陈义成, 王伟 . 航空发动机需求变更模型研究 [J]. 中国民航大学学报, 2021, 39(5): 55-60.
[8]	田静, 胡鹤翔. 基于 GA-LSSVM 的航空发动机气路故障诊断 [J]. 中国民航大学学报, 2021, 39(3): 29-33.
[9]	白杰 , 陈岩康 , 傅文广 , 孙鹏. 吞雨对航空发动机风扇气动性能的影响[J]. 中国民航大学学报, 2021, 39(3): 49-55.
[10]	杨坤, 孙晓楠. 航空发动机压力传感器故障影响仿真分析[J]. 中国民航大学学报, 2020, 38(5): 17-22.
[11]	曹惠玲, 郑里鹫. 基于LMI 的小型涡扇发动机非线性稳态控制[J]. 中国民航大学学报, 2020, 38(3): 12-17.
[12]	曹惠玲, 梁佳旺. 基于相似时间序列的航空发动机剩余寿命预测[J]. 中国民航大学学报, 2020, 38(2): 13-17.
[13]	陶立权, 马振, 邱学旺. 航空发动机涡轮轮缘封严数值模拟#br#[J]. 中国民航大学学报, 2020, 38(1): 13-18.
[14]	瞿红春, 林文斌, 许旺山, 郭龙飞. 基于混沌PSO_Elman 网络的航空发动机基线挖掘#br#[J]. 中国民航大学学报, 2020, 38(1): 19-23.
[15]	曹惠玲, 徐文迪, 汤鑫豪, 崔科璐, 王冉. 航空发动机基线挖掘方法对比分析[J]. 中国民航大学学报, 2019, 37(6): 12-17.