An in situ modal-based method for structural dynamic joint parameter identification

Author:

Shamine D M1,Hong S W1,Shin Y C1

Affiliation:

1. Purdue University School of Mechanical Engineering West Lafayette, Indiana, USA

Abstract

The present paper proposes an in situ modal parameter-based method for determining the dynamic joint characteristics of mechanical systems. The proposed method uses the mass, damping and stiffness matrices of the structure, calculated by the finite element method (FEM), along with measured eigenvectors and eigenvalues of the actual system. While the modal parameters at the joint must be known in order to identify the structural joint dynamic characteristics, it is often impossible to measure the response of the system directly at the joint location. To overcome this problem and eliminate the errors associated with using measurements close to the joints, an alternative indirect estimation scheme is used to determine the complete set of eigenvectors, and thus the eigenvector component corresponding to the joint location is extracted. Therefore, the proposed method allows in situ joint parameter identification. The efficiency of this method is validated by simulations with different mechanical systems, and the robustness is also demonstrated with errors introduced into the estimated eigenvectors. Finally, the method is implemented for experimental identification of the joint parameters of an actual spindle system.

Publisher

SAGE Publications

Subject

Mechanical Engineering

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A receptance coupling procedure considering frequency-dependent behavior of holder-tool contact dynamics;Journal of Manufacturing Processes;2022-08

2. Surface fractal topography-based contact stiffness determination of spindle–toolholder joint;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2015-04-14

3. An identification method for joint structural parameters using an FRF-based substructuring method and an optimization technique;Journal of Mechanical Science and Technology;2007-12

4. A Numerical Model to Predict Damaged Bearing Vibrations;Journal of Vibration and Control;2007-11

5. Model Reduction of Systems With Localized Nonlinearities;Journal of Computational and Nonlinear Dynamics;2007-01-23

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