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基于OMA的主轴系统动态特性监测方法

A new method of monitoring dynamics of spindle system based on OMA
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摘要 主轴系统动态特性决定了机床的在役可靠性和加工质量。加工过程中主轴系统随主轴转速和边界条件的改变而发生重构,其动态特性相较经典实验模态法获取的非加工状态下的结果发生显著改变。工作模态分析(operational modal analysis,OMA)是一种加工过程中动态估计模态参数的有力工具,将此方法应用于铣削加工中心主轴系统动态特性在线监测并设计了切削实验。实验结果表明该方法能准确估计工作模态参数,使主轴系统的实时监测、主动维护、稳定性动态预测成为可能。 Dynamic properties of spindle system contribute greatly to the reliability of the machine tool in service and machining quality. During operation they will differ from the results from static experimental modal analysis,because the spindle system will be reconstructed with the change of spindle speed and boundary condition. Operational modal analysis( OMA) is a powerful tool to estimate operational modal parameters during operation. It is implemented in milling operation to enable the on-line monitor of dynamic properties of spindle system. A cutting experiment is designed and conducted. It turns out that the presented method estimates operational modal parameters of spindle system accurately,which will enable the real-time monitoring spindle system and active maintenance,as well as dynamical predicting chatter stability.
作者 张宇 刘丽冰 李鸣 盖丽雅 ZHANG Yu;LIU Libing;LI Ming;GAI Liya(School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, CHN;School of Information Engineering, Nanehang University, Nanchang 330031, CHN;Shenyang Machine Tool(Group) Co., Ltd., Shenyang 110142, CHN)
出处 《制造技术与机床》 北大核心 2018年第6期86-90,共5页 Manufacturing Technology & Machine Tool
基金 国家自然科学基金资助项目(51305124) 河北省重点研发计划项目(16211803D) 江西省重点研发计划项目(20161BBE50084)
关键词 工作模态分析 主轴系统 动态特性 在线监测 operational modal analysis spindle system dynamics on-line monitor
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  • 1郑敏,申凡,史东锋,陈怀海.单独利用响应数据进行模态分析[J].中国机械工程,2006,17(4):405-409. 被引量:9
  • 2HERMANS L, VANDER H. Modal testing and analysis of structures under operational conditions: Industrial applications[J]. Mechanical Systems and Signal Processing, 1999, 13(2): 193-216.
  • 3LI B, CAI H, MAO X, et al. Estimation of CNC machine-tool dynamic parameters based on random cutting excitation through operational modal analysis[J]. International Journal of Machine Tools and Manufacture, 2013, 71: 26-40.
  • 4ZAGHBANI I, SONGMENE V. Estimation of machine -tool dynamic parameters during machining operationthrough operational modal analysis[J]. International Journal of Machine Tools and Manufacture, 2009, 49(12-13): 947-957.
  • 5MODAK S, RAMAL C, KUNDRA T. Harmonics elimination algorithm for operational modal analysis using random decrement technique[J]. Mechanical Systems and Signal Processing, 2010, 24(4). 922-944.
  • 6LI B, LUO B, MAO X, et al. A new approach to identifying the dynamic behavior of CNC machine tools with respect to different worktable feed speeds[J]. International Journal of Machine Tools and Manufacture, 2013, 72. 73-84.
  • 7MOHANTY P, RIXEN D. A modified Ibrahim time domain algorithm for operational modal analysis including harmonic excitation[J]. Journal of Sound and Vibration, 2004, 275(1-2): 375-390.
  • 8ZHOU S, WARD H, PAUL S, et al. Maximum likelihood estimator of operational modal analysis for linear time-varying structures in time-frequency domain[J]. Journal of Sound and Vibration, 2014, 333(11): 2339-2358.
  • 9VIVO D, BRUTTIA, LEOFANTI J. Modal shape identification of large structure exposed to wind excitation by operational modal analysis technique[J]. Mechanical Systems and Signal Processing, 2013, 39(1-2): 195-206.
  • 10OZBEK M, MENG F, RIXEN D. Challenges in testing and monitoring the in-operation vibration characteristics of wind turbines[J]. Mechanical Systems and Signal Processing, 2013, 41(1-2): 649-666.

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