单级单吸离心泵多工况的能量性能预测  

Energy performance prediction of single-stage single-suction centrifugal pump under multiple operating conditions

作　　者：杨军虎[1,2] 姬亚亚 林彬 马琦航 罗钰铜 李之帆 YANG Jun-hu;JI Ya-ya;LIN Bin;MA Qi-hang;LUO Yu-tong;LI Zhi-fan(College of Energy and Power Engineering, Lanzhou Univ. of Tech., Lanzhou 730050, China;Key Laboratory of Fluid Machinery and Systems of Gansu Province, Lanzhou Univ. of Tech., Lanzhou 730050, China)

机构地区：[1]兰州理工大学能源与动力工程学院,甘肃兰州730050 [2]兰州理工大学甘肃省流体机械及系统重点实验室,甘肃兰州730050

出　　处：《兰州理工大学学报》2020年第2期48-54,共7页Journal of Lanzhou University of Technology

基　　金：国家重点研发计划重点专项(2016YFF0203303);兰州市科技计划项目(2018-4-71)。

摘　　要：为了准确预测离心泵不同工况下的能量性能,基于国内外现有的理论公式和经验公式建立离心泵水力损失模型.运用线性回归的方法找出了叶轮进口冲角与冲击损失系数之间的函数关系,对冲击损失公式进行修正.为验证此模型预测离心泵不同工况下能量性能的准确性,选取一台比转速为92.8的离心泵,计算其9个工况点的扬程、效率和轴功率,并与试验结果进行对比分析.结果表明:扬程的预测结果与试验结果基本一致,9个工况点预测扬程与试验扬程之间的误差均在5%以内,这表明水力损失方程能很好地预测离心泵不同工况下的能量性能.In order to predict accurately the energy performance of centrifugal pumps under different working conditions,their hydraulic loss models are established based on the existing theoretical and empirical formulas at home and abroad.The linear regression method is used to find out the functional relationship between the impeller inlet angle of attack and the impact loss,so that the impact loss formula is revised.Thereby,to verify the accuracy of this model in predicting the energy performance of centrifugal pumps under different working conditions,a centrifugal pump with a specific speed of 92.8 is selected to calculate the head,efficiency and shaft power at nine operating points,and the result is compared with that of experiment and analyzed.The results show that the prediction results of the head will be basically consistent with the test results.The error between the predicted head and the test head at nine operating points will be less than 5%.This shows that the hydraulic loss equation can be used to predict the energy performance of centrifugal pumps well under different working conditions.

关 键 词：离心泵 多工况 水力损失 扬程 

分 类 号：TH311[机械工程—机械制造及自动化]