基于模态试验的机床结合部动刚度参数识别
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摘要
机床结合部动力学辨识与建模方法一直是制约机床动力学研究和数字化设计的重要因素,为寻找一种比较理想的结合部动态参数识别法,以刀柄-刀具结合部为研究对象,采用完备频响函数的方法辨识机床结合部动力学参数。为验证方法的可行性,在准确建立研究对象有限元模型的基础上,将辨识的刚度参数通过弹簧阻尼单元代入模型中进行仿真分析,仿真与试验对比结果显示,刀柄组合件的前2阶固有频率误差分别为0.04%和0.013%,较小的误差率和一致的振型验证了方法的有效性。
The method of dynamic identification and modeling of machine tool joint has always been an important factor that restricts the study of machine tool dynamics and the digital design. In order to find an ideal dynamic parameter identification method for the joint part, taked the joint of a hilt as the research object,the dynamic parameters of the joint part of the machine tool were identified by the method of complete frequency response function. In order to verify the feasibility of the method, on the basis of established the finite element model of the research object accurately, the identified stiffness parameters were substituted into the model by spring damping unit for simulation analysis. The results of simulation and experiment show that the error of first 2 order natural frequency is 0.04% and 0.013% respectively. The small error rate and the uniform vibration mode verify the effectiveness of the method.
The method of dynamic identification and modeling of machine tool joint has always been an important factor that restricts the study of machine tool dynamics and the digital design. In order to find an ideal dynamic parameter identification method for the joint part, taked the joint of a hilt as the research object,the dynamic parameters of the joint part of the machine tool were identified by the method of complete frequency response function. In order to verify the feasibility of the method, on the basis of established the finite element model of the research object accurately, the identified stiffness parameters were substituted into the model by spring damping unit for simulation analysis. The results of simulation and experiment show that the error of first 2 order natural frequency is 0.04% and 0.013% respectively. The small error rate and the uniform vibration mode verify the effectiveness of the method.
引文
[1] 杨橚,唐恒龄,廖伯瑜.机床动力学[M].北京:机械工业出版社,1983.
[2] Burdekin M,Baek N,Cowley A.Analysis of the local deformation in machine joints[J].Journal Mechanical Engineering Science,1979,21(1):25-32.
[3] Vafaei S,Rahnejat H,Aini R.Vibration monitoring of high speed spindles using spectral analysis techniques[J].International Journal of Machine Tools and Manufacture,2002,42(11):1223-1234.
[4] R A Ibrahim,C L Pettit.Uncertainties and dynamic problems of bolted joints and other fasteners[J].Journal of Sound and Vibration,2005,279:857-936.
[5] 孙明楠,米良,干静,等.数控机床导轨结合部动态特性参数优化识别方法研究[J].四川大学学报(工程科学版),2012,44(3):217-223.
[6] 王立华,罗建平,刘泓滨,等.铣床关键结合面动态特性研究[J].振动与冲击,2008,27(8):125-129.
[7] Tsai J S,Chou Y F.The identification of dynamic characteristics a single bolt joint[J].Journal of Sound and Vibration,1988,125(3):487-502.
[8] Yang K T,Park Y S.Joint structural parameter identification using a subset of frequency response function measurements[J].Mechanical Systems and Signal Processing,1993,7(6):509-530.
[9] Wang Mian,Wang Dong,Zheng Gangtie.Joint dynamic properties identification with partially measured frequency response function[J].Mechanical Systems and Signal Processing,2012,27:499-512.
[10] Celic D,Boltezar M.The influence of the coordinate reduction on the identification of the joint dynamic properties[J].Mechanical Systems and signal processing,2009,23:1260-1271.
[11] Ren Y,Beards C F.Identification of joint properties of a structure using FRF data[J].Journal of Sound and Viberation,1995,186(4):567-587.
[2] Burdekin M,Baek N,Cowley A.Analysis of the local deformation in machine joints[J].Journal Mechanical Engineering Science,1979,21(1):25-32.
[3] Vafaei S,Rahnejat H,Aini R.Vibration monitoring of high speed spindles using spectral analysis techniques[J].International Journal of Machine Tools and Manufacture,2002,42(11):1223-1234.
[4] R A Ibrahim,C L Pettit.Uncertainties and dynamic problems of bolted joints and other fasteners[J].Journal of Sound and Vibration,2005,279:857-936.
[5] 孙明楠,米良,干静,等.数控机床导轨结合部动态特性参数优化识别方法研究[J].四川大学学报(工程科学版),2012,44(3):217-223.
[6] 王立华,罗建平,刘泓滨,等.铣床关键结合面动态特性研究[J].振动与冲击,2008,27(8):125-129.
[7] Tsai J S,Chou Y F.The identification of dynamic characteristics a single bolt joint[J].Journal of Sound and Vibration,1988,125(3):487-502.
[8] Yang K T,Park Y S.Joint structural parameter identification using a subset of frequency response function measurements[J].Mechanical Systems and Signal Processing,1993,7(6):509-530.
[9] Wang Mian,Wang Dong,Zheng Gangtie.Joint dynamic properties identification with partially measured frequency response function[J].Mechanical Systems and Signal Processing,2012,27:499-512.
[10] Celic D,Boltezar M.The influence of the coordinate reduction on the identification of the joint dynamic properties[J].Mechanical Systems and signal processing,2009,23:1260-1271.
[11] Ren Y,Beards C F.Identification of joint properties of a structure using FRF data[J].Journal of Sound and Viberation,1995,186(4):567-587.