摘要
Up to present, there have been no studies concerning the application of fluid-structure interaction（FSI） analysis to the lifetime estimation of multi-stage centrifugal compressors under dangerous unsteady aerodynamic excitations. In this paper, computational fluid dynamics（CFD） simulations of a three-stage natural gas pipeline centrifugal compressor are performed under near-choke and near-surge conditions, and the unsteady aerodynamic pressure acting on impeller blades are obtained. Then computational structural dynamics（CSD） analysis is conducted through a one-way coupling FSI model to predict alternating stresses in impeller blades. Finally, the compressor lifetime is estimated using the nominal stress approach. The FSI results show that the impellers of latter stages suffer larger fluctuation stresses but smaller mean stresses than those at preceding stages under near-choke and near-surge conditions. The most dangerous position in the compressor is found to be located near the leading edge of the last-stage impeller blade. Compressor lifetime estimation shows that the investigated compressor can run up to 102.7 h under the near-choke condition and 200.2 h under the near-surge condition. This study is expected to provide a scientific guidance for the operation safety of natural gas pipeline centrifugal compressors.
Up to present, there have been no studies concerning the application of fluid-structure interaction（FSI） analysis to the lifetime estimation of multi-stage centrifugal compressors under dangerous unsteady aerodynamic excitations. In this paper, computational fluid dynamics（CFD） simulations of a three-stage natural gas pipeline centrifugal compressor are performed under near-choke and near-surge conditions, and the unsteady aerodynamic pressure acting on impeller blades are obtained. Then computational structural dynamics（CSD） analysis is conducted through a one-way coupling FSI model to predict alternating stresses in impeller blades. Finally, the compressor lifetime is estimated using the nominal stress approach. The FSI results show that the impellers of latter stages suffer larger fluctuation stresses but smaller mean stresses than those at preceding stages under near-choke and near-surge conditions. The most dangerous position in the compressor is found to be located near the leading edge of the last-stage impeller blade. Compressor lifetime estimation shows that the investigated compressor can run up to 102.7 h under the near-choke condition and 200.2 h under the near-surge condition. This study is expected to provide a scientific guidance for the operation safety of natural gas pipeline centrifugal compressors.
基金
Supported by National Natural Science Foundation of China(Grant No51406148)
National Science Technology Support Program of China(Grant No.2012BAA08B06)
Postdoctoral Science Foundation o China(Grant No.2014M552444)
作者简介
Corresponding author. E-mail： yapingju@mail.xjtu.edu.cn JU Yaping, born in 1987, is currently a lecturer at School of Energy and Power Engineering, Xi＇an Jiaotong University, China. She received her PhD degree from Xi＇an Jiaotong University, China, in 2013. Her research interests include fluid machinery internal flow theory and optimization design method. Tel： ＋86-29-82668723; E-mail： yapingju@mail.xjtu.edu.cnLIU Hui, born in 1987, is currently an engineer at Shanghai Marine Equipment Research Institute, China. He received his master degree from Xi ＇an Jiaotong University, China, in 2013. Email： huiliu 119@foxmail.comYAO Ziyun, born in 1978, is a senior engineer at Petro China Beijing Gas Pipeline Ltd., China. Email： zyyao@petrochina.com.cnXING Peng, born in 1989, is currently a postgraduate student at School of Energy and Power Engineering, Xi＇an Jiaotong University, China. Email： xingpengxp@stu.xjtu.edu.cnZHANG Chuhua, born in 1967, is currently a professor at School of Energy and Power Engineering, Xi＇an Jiaotong University, China. His main research interests include fluid machinery internal flow theory, optimization design method, and parallel CFD algorithm. Tel： ＋86-29-82663539; E-mail： chzhang@mail.xjtu.edu.cn
