摘要
针对传统柔性转子动平衡方法需要多次添加试重、多次启动而导致平衡效率低、安全性无法保证的问题,提出了一种高速柔性转子无试重模态动平衡方法。该方法借助有限元软件计算得到转子的模态特征,结合测量得到的振动信息,计算出平衡配重的大小和相位。为了将此方法应用于工程实际,研制了一套柔性转子无试重模态动平衡软、硬件测试系统。将该系统与国外同类先进测试设备SIRIUS对比,两者之间的相位测量误差为2.376°。转速计量表明,该测试系统的转速测量范围为0~60kr/min,最大测量误差为10%。应用该系统对跨二阶双盘柔性转子实施了无试重动平衡试验,平衡后一阶振幅下降60.6%,二阶振幅下降74%。试验结果表明,所研制的无试重模态动平衡系统可有效应用于高速柔性转子的动平衡,提高平衡效率和安全性。
Traditional methods of flexible rotor balancing need to add trail weights and run the rotor many times,resulting in a low balancing efficiency and a poor security.To solve this problem,a modal balancing method for high speed flexible rotor without trail weights is proposed.Modal information is obtained by finite element software and vibration data are measured to calculate the size and orientation of the unbalance mass.In order to easily and comfortably apply this method to engineering practice,a balancing system corresponding to the proposed method is developed,including software and hardware.The phase measurement error between the system and similar foreign advanced testing equipment SIRIUS is 2.376°.Further,the results of rotationspeed calibrationshows the measurement range of the system is 0~60 kr/min with an error less than 10%.Finally,a two-disk flexible rotor across the second order critical speed is balanced using the system.After balancing,the amplitude of the rotor at the first order critical speed reduces by 60.6%,the amplitude at the second order critical speed reduces by 74%.The results demonstrate that the system can be effectively applied to perform flexible rotor balancing,improving the efficiency and safety of balancing.
作者
贾胜锡
郑龙席
邓旺群
梅庆
JIA Shengxi;ZHENG Longxi;DENG Wangqun;MEI Qin(College of Power and Energy,Northwestern Polytechnical University,Xi’an,710072,China;College of Power and Energy,Northwestern Polytechnical University,Xi’an,710072,China;Aviation Key Laboratory of Aeroengine Vibration Technology,AECC Hunan Powerplant Research Institute,Zhuzhou,412002,China)
出处
《振动.测试与诊断》
EI
CSCD
北大核心
2018年第6期1108-1113,1287,1288,共8页
Journal of Vibration,Measurement & Diagnosis
基金
航空科学基金资助项目(20112153019)