Design Optimization and Analysis of Exit Rotor with Diffuser Passage based on Neural Network Surrogate Model and Entropy Generation Method  

作　　者：JIN Yun GENG Shaojuan LIU Shuaipeng NI Ming ZHANG Hongwu 

机构地区：[1]Advanced Gas Turbine Laboratory,Institute of Engineering Thermophysics,Chinese Academy of Sciences,Beijing 100190,China [2]Innovation Academy for Light-duty Gas Turbine,Chinese Academy of Sciences,Beijing 100190,China [3]Key Laboratory of Advanced Energy and Power,Institute of Engineering Thermophysics,Chinese Academy of Sciences,Beijing 100190,China [4]University of Chinese Academy of Sciences,Beijing 100049,China [5]Department of Mechanics and Aerospace Engineering,Southern University of Science and Technology,Shenzhen 518055,China

出　　处：《Journal of Thermal Science》2023年第2期739-752,共14页热科学学报（英文版）

基　　金：the support of the National Science and Technology Major Project(2017-Ⅱ-0006-0020)。

摘　　要：In this paper,a diffuser passage compressor design is introduced via optimization to improve the aerodynamic performance of the exit rotor in a multistage axial compressor.An in-house design optimization platform,based on genetic algorithm and back propagation neural network surrogate model,is constructed to perform the optimization.The optimization parameters include diffusion angle of meridian passage,diffusion length of meridian passage,change of blade camber angle and blade number.The impacts of these design parameters on efficiency and stability improvement are analyzed based on the optimization database.Two optimized diffuser passage compressor designs are selected from the optimization solution set by comprehensively considering efficiency and stability of the rotor,and the influencing mechanisms on efficiency and stability are further studied.The simulation results show that the application of diffuser passage compressor design can improve the load coefficient by 12.1%and efficiency by 1.28%at the design mass flow rate condition,and the stall margin can be improved by 12.5%.According to the local entropy generation model analysis,despite the upper and lower endwall loss of the diffuser passage rotor are increased,the profile loss is reduced compared with the original rotor.The efficiency of the diffuser passage rotor can be influenced by both loss and load.At the near stall condition,decreasing flow blockage at blade root region can improve the stall margin of the diffuser passage rotor.

关 键 词：exit rotor diffuser passage neural network surrogate model entropy generation rate flow blockage 

分 类 号：TH453[机械工程—机械制造及自动化] TP183[自动化与计算机技术—控制理论与控制工程]