• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2016, Vol. 52 ›› Issue (5): 162-168.doi: 10.3901/JME.2016.05.162

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Research on Dynamics Modeling and Identification of Machine Tool Joints

DONG Guanhua, YIN Qin, YIN Guofu, WANG Liang, TAN Feng   

  1. School of Manufacturing Science and Engineering, Sichuan University, Chengdu 610065
  • Online:2016-03-05 Published:2016-03-05

Abstract: To the influence of dynamics modeling of machine tool joints and identification method on the coupling relationship between substructure and internal vibration on external response is not adequately considered, the dynamics theory model of joints of machine tool is completely established by adopting the frequency response function matrix. The identification equation is derived based on mechanical equilibrium and displacement compatibility condition, and a new dynamics identification method is proposed. In the process of identification blending in the coupling relationship between substructures and rendering the frequency response function (FRF) difficult to measure as intermediate variable offset, the method avoid equation error using unpredictable response or estimation. On this basis, the identification equation is extended to the whole measurement range, and then the contradiction equation including identification is constructed. The equivalent dynamic stiffness is determined by the least square method and the finite element model of the structure is established. In order to verify the feasibility and correctness of the proposed method, field tests are conducted based on the LMS test platform and acquire good results. Compared with other modeling method such as reducing dimension and ignoring the internal excitation, the results indicate that the proposed method has better prediction.

Key words: dynamic stiffness, dynamics, identification, joints, modeling

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