Stiffness Model and Experimental Study of Hydrostatic Spindle System considering Rotor Swing

Author:

Chen Runlin12,Wang Xingzhao1,Du Chen1,Zha Jun34ORCID,Liu Kai1,Yuan Xiaoyang4

Affiliation:

1. School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, China

2. Qinchuan Machine Tool & Tool Group Co., Ltd., Baoji 721009, China

3. Shenzhen Research School, Xi’an Jiaotong University, Shenzhen 518057, China

4. School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Abstract

For high-end CNC machine tools, the stiffness of the spindle system is one of the most important performance indicators. In this paper, the hydrostatic motorized spindle system of a grinding machine is taken as the research object, and a two-degree-of-freedom stiffness model of the spindle system considering rotor swing is proposed. The stiffness of the spindle system under different excitation frequencies is analyzed, and the contributions of the stiffness of two bearings to the stiffness of the spindle system are evaluated. The vibration test on the spindle system is implemented through the hammering method. The vibration responses of the spindle system are obtained, and the stiffness of the spindle system is identified. The results show that the test results of the stiffness of the spindle system are in good agreement with the theoretical calculation, with an average error of about 14.21%. The research in this paper can provide theoretical and data support for bearing design and stiffness evaluation of a hydrostatic spindle system.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Mechanical Engineering,Mechanics of Materials,Geotechnical Engineering and Engineering Geology,Condensed Matter Physics,Civil and Structural Engineering

Cited by 6 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. Analytical study of the spherical hydrostatic bearing dynamics through a unique technique;Scientific Reports;2023-11-08

2. Study on test method and experiment of dynamic characteristics of hydrostatic bearing;Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023);2023-10-25

3. Influence of oil film nonlinearity on identification accuracy of dynamic characteristic coefficient of heavy-duty sliding bearing;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2023-04

4. Data Fusion Approach for Extracting Spindle Key Performance Features Under Different Workloads;IEEE Transactions on Instrumentation and Measurement;2023

5. Simulation evaluation of dynamic characteristic identification accuracy of sliding bearing considering test error;Advances in Mechanical Engineering;2021-12

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