4.7 Article

Modeling and analyzing of nonlinear dynamics for linear guide slide platform considering assembly error

期刊

NONLINEAR DYNAMICS
卷 108, 期 3, 页码 2193-2221

出版社

SPRINGER
DOI: 10.1007/s11071-022-07345-2

关键词

Linear guideway; Assembly error; Nonlinear dynamics; Dynamics modeling

资金

  1. National Natural Science Foundation of China [52075087]
  2. Fundamental Research Funds for the Central Universities [N2003006, N2103003]
  3. Natural Science Foundation of Heilongjiang Province [HL2020A017]

向作者/读者索取更多资源

This study proposes a practical model using numerical method to investigate the influence of assembly error on the dynamics of mechanical systems. The simulation results show that assembly error can change the dynamics of the system and increasing preload does not improve system stability. The proposed model is validated through experiments.
It is industry tendency to accurately predict the dynamics of the mechanical systems with full consideration of errors. Based on the Hertz contact theory and general bearing modeling methods, this study proposed a more practical model using numerical method to investigate the influence of assembly error on the dynamics of linear guide slide platform. First, the modeling methods of five types of assembly errors are established, based on which, a nonlinear dynamic model is developed to investigate the influence of assembly error. In consideration of assembly error, the modeling method enables the sum of restoring forces and restoring moments equal to zero when no external load applied to the platform. Second, the simulation results indicate that the assembly error can cause uneven load distribution, change the dynamics of the system. In addition, different from previous research results, the stability of the system cannot be improved by simply increasing the preload. Last, in order to validate the proposed method, the proposed model is compared with previous fewer degrees-of-freedom model, and a series of experiments are conducted on a specialized platform to estimate the parameters of the system and verify the proposed model.

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