Application of New Empirical Models Based on Mathematical Statistics in the Through-Flow Analysis

作     者：FEI Teng JI Lucheng FEI Teng;JI Lucheng

作者机构：School of Aerospace EngineeringBeijing Institute of TechnologyBeijing 100081China 

出 版 物：《Journal of Thermal Science》 (热科学学报（英文版）)

年 卷 期：2021年第30卷第6期

页      面：2087-2098页

核心收录：

学科分类：082502[工学-航空宇航推进理论与工程] 08[工学] 0825[工学-航空宇航科学与技术] 

基　　金：the National Natural Science Foundation of China for funding this work(Grant No.51676015) 

主　　题：through-flow analysis empirical models blade loss deviation regression analysis 

摘      要：The through-flow analysis is an important part in the compressor design *** this part,lots of empirical models are used to predict the compressor aerodynamic *** models are all based on the early experimental results of low-load and low-speed compressors;so,they may not be suitable for modern compressor performance *** this study,several empirical models were reviewed,and two new models to estimate the minimum blade profile loss and minimum-loss deviation angle were established using mathematical ***,the original models with poor accuracy were replaced by these two models in through-flow ***,three compressors(Rotor 67,Stage 35,and a 4-stage repeating stage)were simulated using both the original and new *** final results show that the new models have better accuracy in estimating the performance parameters than the original *** indicates that it is feasible to use mathematical statistical methods to establish the empirical models,and this method provides an idea for the improvement of other empirical models in through-flow program.