论文:2017,Vol:35,Issue(5):898-904
引用本文:
傅超, 任兴民, 杨永锋, 邓旺群, 王元生. 基于加速不平衡响应的柔性转子无试重动平衡[J]. 西北工业大学学报
Fu Chao, Ren Xingmin, Yang Yongfeng, Deng Wangqun, Wang Yuansheng. Balancing of Flexible Rotors Based on Accelerating Unbalance Response without Trial Weights[J]. Northwestern polytechnical university

基于加速不平衡响应的柔性转子无试重动平衡
傅超1, 任兴民1, 杨永锋1, 邓旺群2, 王元生1
1. 西北工业大学 振动工程研究所, 陕西 西安 710072;
2. 中国航发湖南动力机械研究所, 湖南 株洲 412002
摘要:
针对传统柔性转子平衡方法操作繁杂、效率低等问题,提出基于转子加速起动瞬态响应,通过遗传算法识别不平衡量的方法对转子进行平衡。在转子不平衡量识别过程中,将初始不平衡大小和方位视为设计变量,建立相应的有限元模型,构建理论计算响应与实测瞬态响应逐步逼近的逆问题并迭代求解。该方法测量信息少,全程无需添加试重。为验证所提方法的可行性,利用Bently RK4转子试验台,首先对一双盘转子进行了有限元模型和试验模型相关性验证。在保证有限元模型置信度的前提下,进行模拟转子平衡试验,平衡后两盘的瞬态振动挠度明显降低。试验结果表明,该方法能准确识别转子不平衡的大小和方位,提高平衡效率。
关键词:    柔性转子    平衡    瞬态分析    遗传算法    试验设计    无试重   
Balancing of Flexible Rotors Based on Accelerating Unbalance Response without Trial Weights
Fu Chao1, Ren Xingmin1, Yang Yongfeng1, Deng Wangqun2, Wang Yuansheng1
1. Institute of Vibration Engineering, Northwestern Polytechnical University, Xi'an 710072, China;
2. AECC Hunan Aviation Powerplant Research Institute, Zhuzhou 412002, China
Abstract:
Traditional flexible rotor steady-state balancing methods expose many disadvantages such as complex operations and low efficiency. Based on rotor transient unbalance response during accelerating process, flexible rotor is balanced in this paper using the genetic algorithm to identify the initial mass unbalance. The identification strategy is to minimize the difference between calculated transient response from the appropriately established finite element model and measured data in which the magnitudes and angels of initial unbalance are regarded as design variables. Without adding trial weights, the proposed method requires much less data measuring. To verify the feasibility of this method, a double disk rotor balancing test was carried out on Bently RK4 test rig after model verification of the finite element model using model updating techniques. The transient vibration deflections of the two disks are significantly reduced after balancing. Experimental results show that the method can identify the unbalance of a flexible rotor accurately and efficiently.
Key words:    flexible rotor    balancing    transient analysis    genetic algorithm    design of experiments    non-trial weight   
收稿日期: 2017-03-02     修回日期:
DOI:
基金项目: 中央高校基本科研业务费(3102016ZY016)、西北工业大学研究生创意创新种子基金(Z2017121)、航空科学基金(2013ZB08001)与航天科技创新基金(2016KC060013)资助
通讯作者:     Email:
作者简介: 傅超(1990-),西北工业大学博士研究生,主要从事转子动平衡及不确定性分析研究。
相关功能
PDF(1781KB) Free
打印本文
把本文推荐给朋友
作者相关文章
傅超  在本刊中的所有文章
任兴民  在本刊中的所有文章
杨永锋  在本刊中的所有文章
邓旺群  在本刊中的所有文章
王元生  在本刊中的所有文章

参考文献:
[1] 孟光. 转子动力学研究的回顾与展望[J]. 振动工程学报, 2002, 15(1):1-9 Meng Guang. Retrospect and Prospect to the Research on Rotordynamics[J]. Journal of Vibration Engineering, 2002, 15(1):1-9(in Chinese)
[2] Den Hartog J P. Mechanical Vibrations[M]. McGraw-Hill, New York, 1956
[3] 张利,陈时桢,徐娟,等. 基于模糊控制的转子动平衡变步长寻优方法[J]. 中国机械工程, 2015, 26(23):3167-3171 Zhang Li, Chen Shizhen, Xu Juan, et al. Variable Step Size Optimization Method of Rotor Dynamic Balance Based on Fuzzy Control[J]. China Mechanical Engineering, 2015, 26(23):3167-3171(in Chinese)
[4] 王维民,高金吉,江志农,等. 旋转机械无试重现场动平衡原理与应用[J]. 振动与冲击, 2010, 29(2):212-215 Wang Weimin, Gao Jinji, Jiang Zhinong, et al. Principle and Application of No Trial Weight Field Balancing for a Rotating Machinery[J]. Journal of Vibration and Shock, 2010, 29(2):212-215(in Chinese)
[5] 黄金平,任兴民,邓旺群. 利用升速响应振幅进行柔性转子的模态平衡[J]. 机械工程学报, 2010, 46(5):55-62 Huang Jinping, Ren Xingmin, Deng Wangqun. Novel Modal Balancing of Flexible Rotor by Using the Run-up Amplitude[J]. Journal of Mechanical Engineering, 2010, 46(5):55-62(in Chinese)
[6] 岳聪,任兴民,邓旺群.基于柔性转子升速模态响应信息的多面平衡法[J]. 航空动力学报,2013,28(11):2593-2599 Yue Cong, Ren Xingmin, Deng Wangqun, et al. Multi-Plane and Multi-Critical Transient Dynamic Balance Method Based on Rising Speed Response Information of Flexible Rotor System[J]. Journal of Aerospace Power, 2013, 28(11):2593-2599(in Chinese)
[7] 刘淑莲,李强,郑水英. 基于全息谱分析的非线性转子系统不平衡量识别[J]. 机械工程学报, 2010, 46(17):62-67 Liu Shulian, Li Qiang, Zheng Shuiying. Unbalance Identification of Nonlinear Rotor System Based on Holospectrum Analysis[J]. Journal of Mechanical Engineering, 2010, 46(17):62-67(in Chinese)
[8] Saldarriaga M V, Steffen V, Hagopian J, et al. On the Balancing of Flexible Rotating Machines by Using an Inverse Problem Approach[J]. Journal of Vibration and Control, 2011, 17(7):1021-1033
[9] Taplak H, Erkaya S, Uzmay I. Passive Balancing of a Rotating Mechanical System Using Genetic Algorithm[J]. Scientia Iranica, 2012, 19(6):1502-1510
[10] Saldarriaga M V, Mahfoud J, Steffen Jr V, et al. Adaptive Balancing of Highly Flexible Rotors by Using Artificial Neural Networks[J]. Smart Structures and Systems, 2009, 5(5):507-515
[11] Wang Xiufeng. SQP Algorithms in Balancing Rotating Machinery[J]. Mechanical Systems and Signal Processing, 2007, 21(3):1469-1478
[12] 陈东超,顾煜炯,徐婧,等. 基于广义回归神经网络的转子系统质量不平衡辨识[J]. 汽轮机技术, 2015, 57(6):440-443 Chen Dongchao, Gu Yujiong, Xu Jing, et al. Identification of Mass Unbalance in a Rotor System Based on Generalized Regression Neural Network Model[J]. Turbine Technology, 2015, 57(6):440-443(in Chinese)
[13] 王星星,吴贞焕,杨国安,等. 基于改进粒子群算法的最小二乘影响系数法的理论及实验研究[J]. 振动与冲击,2013,32(8):100-104 Wang Xingxing, Wu Zhenhuan, Yang Guo'an, et al. Theory and Tests for Least Square Influence Coefficient Method Based on an Improved Particle Swarm Optimization Algorithm[J]. Journal of Vibration and Shock, 2013, 32(8):100-104(in Chinese)
[14] Jha A K, Dewangan P, Sarangi M. Model Updating of Rotor Systems by Using Nonlinear Least Square Optimization[J]. Journal of Sound and Vibration, 2016, 373:251-262
[15] 陈曦,廖明夫,刘展翅,等. 一种弹性支撑柔性转子模态动平衡方法[J]. 南京航空航天大学学报,2016,48(3):402-409 Chen Xi, Liao Mingfu, Liu Zhanchi, et al. Modal Balancing Method for Flexible Rotors with Elastic Supports[J]. Journal of Nanjing University of Aeronautics and Astronautics, 2016, 48(3):402-409(in Chinese)
[16] Li Xiaofeng, Zheng Longxi, Liu Zhenxia. Balancing of Flexible Rotors without Trial Weights Based on Finite Element Modal Analysis[J]. Journal of Vibration and Control, 2012, 19(3):461-470