基于一维模型的跨声速轴流压气机特性预测研究

Characteristics Prediction of Transonic Axial Compressor Based on One-Dimensional Model

关键词:  落后角模型  跨声速轴流压气机  大弯角平面叶栅  特性计算  HARIKA算法

Key words:  Deviation angle model  Transonic axial compressor  Large camber plane cascade  Characteristic calculation  HARIKA algorithm

摘要:

为发展一套对于现如今多级跨声速轴流压气机特性预测较为精准、快捷的计算程序，选取了合适的压气机参考攻角模型，建立了适用于双圆弧大弯角叶型的设计点/非设计点落后角模型。采用某套大弯角平面叶栅在多个工况下的实验数据对新建立的落后角模型进行校验，并将攻角、落后角模型嵌入到HARIKA算法中，实现对HARIKA算法原模型的替换，用新建立的HARIKA算法和三维数值计算软件NUMECA对某型两级跨声速轴流压气机在设计/非设计转速下进行特性计算。结果表明：本文建立的落后角模型对于叶栅出口气流落后角预测值与实验值较好地吻合，平均误差为0.42°，预测误差较小。新的HARIKA算法对于压气机特性的预测结果相比于三维数值计算结果更贴近于实验值，其中压比最大预测误差2.54%，效率最大预测误差3.68%，总体预测误差较小，证明本文建立的非设计点落后角模型具有一定的准确性与适用性，改进后的HARIKA算法在多级跨声速轴流压气机特性预测方面具有一定的工程实用性。

Abstract:

In order to develop a more accurate and fast program for characteristic calculation of present multi-stage transonic axial-flow compressors， a suitable reference incidence angle model was selected， and a design/off-design point deviation angle model suitable for large-camber， double-arc blade profile was established. Thereafter， the experimental data of a large camber plane cascade under multiple working conditions were used to verify the newly established deviation angle model， and the incidence angle model and deviation angle model were embedded in the HARIKA algorithm to realize the replacement of original model in the HARIKA algorithm. In addition， the newly established HARIKA algorithm and the three-dimensional numerical calculation software NUMECA were used to calculate the characteristics of a two-stage transonic axial compressor at design / off-design speeds. Finally， the results show that the values calculated by the deviation angle model established in this paper are in good agreement with the experimental values for the deviation angle of the airflow at cascade outlet， with an average error of 0.42°， which is small. The characteristic prediction results of the new HARIKA algorithm for the compressor are closer to the experimental values ??than the three-dimensional numerical calculation results. The maximum prediction error of the pressure ratio is 2.54%， the maximum prediction error of the efficiency is 3.68%， and the overall prediction error is small. Based on these results， it can be seen clearly that the off-design point deviation angle model established in this paper has certain accuracy and applicability， and the improved HARIKA algorithm has certain engineering practicability in characteristic prediction of multi-stage transonic axial-flow compressors.