Issue |
JNWPU
Volume 38, Number 1, February 2020
|
|
---|---|---|
Page(s) | 114 - 120 | |
DOI | https://doi.org/10.1051/jnwpu/20203810114 | |
Published online | 12 May 2020 |
Quasi-2D Performance Analysis for Axial Compressors Based on Time-Marching Method
基于时间推进的轴流压气机准二维性能分析
School of Power and Energy, Northwestern Polytechnic University, Xi'an 710072, China
Received:
2
May
2019
In order to get a fast performance analysis tool for multi-stage axial compressors, a quasi-two dimensional analysis model based on time-marching method is developed in this paper. The model is based on Euler equation, and several source terms, like inviscid blade force model and viscous force model, are added to simulate different phenomena of compressor internal flow. The flow line in blade area is adjusted to solve the discontinuity problem at blade leading edge. Two test cases-PW3S1, a 3.5-stage axial compressor and a 1.5-stage high-speed axial compressor, are presented to validate the quasi-2D model. The overall performance characteristics of two compressors at different rotation speed are calculated then. The computed results are compared with experimental data or 3D results. The average errors of pressure ratio and efficiency are 0.52% and 0.63% in PW3S1 case, 1.73% and 2.91% in 1.5-stage compressor case, and the model is able to capture shock wave and to predict choke condition.
摘要
为实现多级轴流压气机的快速性能分析,开发了一种基于时间推进的准二维性能分析模型。该模型基于Euler方程,加入无黏叶片力模型和黏性力模型等源项用以模拟压气机中的诸多流动现象,同时对叶片区流线进行修正以处理叶片前缘间断问题。为验证模型的有效性,采用3.5级轴流压气机PW3S1和某1.5级高速轴流压气机进行验证,并完成了2个算例在不同转速下的总体参数特性计算。计算结果与试验数据和全三维计算结果进行比较:在PW3S1算例中计算压比和效率的平均误差分别为0.52%和0.63%,在1.5级压气机算例中分别为1.73%和2.91%,同时实现了激波的捕捉及堵塞工况的自动预测。
Key words: axial compressors / performance analysis / time-marching / quasi-2D model
关键字 : 轴流压气机 / 性能分析 / 时间推进 / 准二维模型
© 2020 Journal of Northwestern Polytechnical University. All rights reserved.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.