利用轴向力预测离心压缩机的级密封状态  

Condition prediction of stage seal of centrifugal compressor based on axial thrust

作　　者：李常有[1,2] 徐敏强[1] 郭耸[3] 王跃武[2] 王日新[1] 高晶波[1] 

机构地区：[1]哈尔滨工业大学航天学院,哈尔滨150001 [2]东北大学机械工程与自动化学院,沈阳110004 [3]哈尔滨工程大学计算机科学与技术学院,哈尔滨150001

出　　处：《哈尔滨工业大学学报》2009年第11期25-28,共4页Journal of Harbin Institute of Technology

基　　金：国家自然科学基金资助项目(10772061);黑龙江省自然科学基金重点项目(ZJG0704)

摘　　要：根据离心压缩机转子所承受的、可实时监测的轴向力与级密封间隙的关系,提出了基于轴向力的离心压缩机级密封状态的预测方法.在分析叶轮两侧缝隙内泄漏气体流动的基础上,采用计算流体动力学方法对其进行仿真,得到轮盘及轮盖上的压力分布,由此计算出轴向力.把不同级密封间隙值及对应的轴向力作为输出、输入向量,对BP神经网络进行训练,以获得在线状态预测模型.测试结果表明,该模型对离心压缩机级密封的状态预测是有效的.According to the analysis on the relationship between the axial thrust acting on the impeller and be- ing monitored in real time and the clearance value of the stage seal of centrifugal compressor, an approach to predict the condition of the stage seal of centrifugal compressor based on the axial thrust is presented. The gas flow in the gap outside of the impeller is analyzed and simulated with CFD technology, then the pressure distri- butions on the wheel disc and impeller shroud are obtained. In succession, the axial thrust can be calculated. 24 clearance values of the stage seal and the corresponding axial thrusts are taken as output and input respec- tively to train BP neural network, and a condition predicting model of the stage seal of centrifugal compressor is obtained. Test results show that the model is effective for predicting the condition of the stage seal of centrifugal compressor.

关 键 词：离心压缩机 级密封 状态预测 轴向力 BP神经网络 

分 类 号：TB114[理学—概率论与数理统计]