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基于正反问题耦合的压气机特性快速预测方法
引用本文:宋召运,王宝潼,范腾博,郑新前,冯旭栋. 基于正反问题耦合的压气机特性快速预测方法[J]. 航空动力学报, 2022, 37(3): 619-628. DOI: 10.13224/j.cnki.jasp.20210072
作者姓名:宋召运  王宝潼  范腾博  郑新前  冯旭栋
作者单位:1.清华大学 航空发动机研究院,北京 100084
基金项目:国家科技重大专项(2017-Ⅱ-0004-0016)
摘    要:提出一种基于正反问题耦合的压气机特性快速预测方法,根据压气机一维设计理论,通过对满足流量及压比设计指标的反问题求解快速得出压气机的气动布局方案,在此基础上结合非设计点损失和落后角模型通过正问题求解得出全工况压气机特性,再根据预测特性与目标的偏差调整气动布局方案,以此通过对正反问题的耦合求解实现对压气机特性的合理快速预测...

关 键 词:压气机特性预测  正反问题耦合  优化校准方法  遗传算法  损失和落后角模型
收稿时间:2021-02-18

Rapid prediction method of compressor characteristics with coupling direct and inverse problems
SONG Zhaoyun,WANG Baotong,FAN Tengbo,ZHENG Xinqian,FENG Xudong. Rapid prediction method of compressor characteristics with coupling direct and inverse problems[J]. Journal of Aerospace Power, 2022, 37(3): 619-628. DOI: 10.13224/j.cnki.jasp.20210072
Authors:SONG Zhaoyun  WANG Baotong  FAN Tengbo  ZHENG Xinqian  FENG Xudong
Affiliation:1.Institute for Aero Engine,Tsinghua University,Beijing 100084,China2.State Key Laboratory of Automotive Safety and Energy,Tsinghua University,Beijing 100084,China3.Sichuan Gas Turbine Establishment,Aero Engine Corporation of China,Mianyang Sichuan 621000,China
Abstract:A rapid method of compressor characteristics prediction with coupling inverse design and direct problems was proposed.According to one-dimensional meanline design theory of the compressor,the aerodynamics layout of the compressor was quickly obtained by solving the inverse problem to satisfy the design targets such as mass flow rate and pressure ratio.Then,by adopting the models of loss and deviation angle at off-design conditions,the compressor characteristics of the whole working condition were obtained by solving the direct problem.The aerodynamics layout was adjusted according to the deviation angle between the predicted characteristics and the targets,and the reasonable and rapid prediction of the compressor characteristics was realized through the coupling of inverse and direct problems.Moreover,a parameter calibration method of compressor loss and deviation angle model based on genetic algorithm was created.This method used optimization theory and experiment data of compressors to improve the traditional models of loss and deviation angle for enhancing the prediction accuracy of compressor characteristics.Experimental data of three compressors were used for calibration and validation of the proposal method.The results showed that the efficiency prediction errors at design and off-design conditions were 0.23% and 1.34%,which satisfied the requirement in the stage of requirement analysis and concept design for aero-engine. 
Keywords:compressor characteristics prediction  coupling direct and inverse problems  calibration method based on parameter optimization  genetic algorithm  loss and deviation angle model
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