基于非线性支承参数的涡轴发动机燃发转子不平衡量识别
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摘要
本文针对实际工作中的涡轴发动机不平衡量难以监控的现状,提出了一种基于非线性支承参数的涡轴发动机燃发转子不平衡量的识别方法。建立转子动力学有限元模型,以转子台上转子测点工频信号为目标,采用Pointer优化器开展不平衡量识别,通过反馈迭代识别SFD的阻尼和刚度。以某真实发动机转子的不平衡量开展识别验证,识别结果符合实际转子不平衡量变化规律,该识别方法计算效率满足工程要求,为发动机整机振动响应仿真分析中的不平衡量施加提供输入条件。
It is difficult to monitor the unbalance of a turbo-shaft engine in practical applications. In this paper,an unbalance identification method using two supporting points of the rotor of a turbo-shaft engine is proposed based on non-linear bearing parameters. The function relationship between the elastic support rib stress and the rotor support displacement is determined by simulations with a finite element model of the rotor dynamics and elastic support stiffness tests. The effective value of the support displacement response frequency signal is considered as the target. A pointer optimizer was used to carry out the unbalance identification. The non-linearity of the oil film damping supporting structure is taken into account and the oil film damping and stiffness are identified by feedback iteration. The unbalance identification method was verified in an unbalance experiment of a real engine rotor, where the results showed that it not only meets the engineering requirements, but also provides input conditions for the unbalance simulation analysis of turbo-shaft engine vibration response.
It is difficult to monitor the unbalance of a turbo-shaft engine in practical applications. In this paper,an unbalance identification method using two supporting points of the rotor of a turbo-shaft engine is proposed based on non-linear bearing parameters. The function relationship between the elastic support rib stress and the rotor support displacement is determined by simulations with a finite element model of the rotor dynamics and elastic support stiffness tests. The effective value of the support displacement response frequency signal is considered as the target. A pointer optimizer was used to carry out the unbalance identification. The non-linearity of the oil film damping supporting structure is taken into account and the oil film damping and stiffness are identified by feedback iteration. The unbalance identification method was verified in an unbalance experiment of a real engine rotor, where the results showed that it not only meets the engineering requirements, but also provides input conditions for the unbalance simulation analysis of turbo-shaft engine vibration response.
引文
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[4] Ji-xing Qu,Wen-xiu Lu,Song-han Wei, et al.双悬臂转子的径向振动特性分析(英文)[J].风机技术,2018,60(4):37-44.
[5]何勇,安源胜,武红霞.旋转机械的故障诊断[J].风机技术,2007(6):67-68+72.
[6]姬广勤,徐兴科,刘猛,等.相位在风机振动监测中的应用[J].风机技术,2007(4):66-68.
[7]罗建东,何岭松,江汉红,等.风机类旋转机械设备的故障诊断知识库模型及应用[J].风机技术,1998(1):36-39,3-4.
[8]饶柱石,周海亭,傅志方.多跨转子不平衡载荷在线识别的一种新方法[J].上海交通大学学报(博士后专辑),1994(4):26-30.
[9]毕士华,黄文虎,荆武兴,等.油膜轴承动态特性参数及转子不平衡的统一识别[J].强度与环境,1995(2):8-15,21.
[10]张召翠,郑水英,刘淑莲.基于摄动解的非线性转子轴承系统不平衡量识别[J].组合机床与自动化加工技术,2008(9):6-9,12.
[11]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.
[12]岳峰杰,庞文杰.转子/轴承系统的油膜稳定性分析在解决旋转机械故障中的应用[J].风机技术,2005(1):57-58.
[13]郑龙席.转子振动波德图的计算机辅助测试与分析系统[J].风机技术,2002(5):33-35.
[2] MORTON P G. Modal balancing of flexible shafts without trial weights[J]. Proc. Instn. Mech. Engr. Partc.,1985,199:71-77.
[3]卢奂采,汪希萱.转子在线动平衡研究[J].机械工程学报,1998,34(3):33-38.
[4] Ji-xing Qu,Wen-xiu Lu,Song-han Wei, et al.双悬臂转子的径向振动特性分析(英文)[J].风机技术,2018,60(4):37-44.
[5]何勇,安源胜,武红霞.旋转机械的故障诊断[J].风机技术,2007(6):67-68+72.
[6]姬广勤,徐兴科,刘猛,等.相位在风机振动监测中的应用[J].风机技术,2007(4):66-68.
[7]罗建东,何岭松,江汉红,等.风机类旋转机械设备的故障诊断知识库模型及应用[J].风机技术,1998(1):36-39,3-4.
[8]饶柱石,周海亭,傅志方.多跨转子不平衡载荷在线识别的一种新方法[J].上海交通大学学报(博士后专辑),1994(4):26-30.
[9]毕士华,黄文虎,荆武兴,等.油膜轴承动态特性参数及转子不平衡的统一识别[J].强度与环境,1995(2):8-15,21.
[10]张召翠,郑水英,刘淑莲.基于摄动解的非线性转子轴承系统不平衡量识别[J].组合机床与自动化加工技术,2008(9):6-9,12.
[11]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.
[12]岳峰杰,庞文杰.转子/轴承系统的油膜稳定性分析在解决旋转机械故障中的应用[J].风机技术,2005(1):57-58.
[13]郑龙席.转子振动波德图的计算机辅助测试与分析系统[J].风机技术,2002(5):33-35.