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Paper | Open Access

Dynamic modeling of ultra-precision fly cutting machine tool and the effect of ambient vibration on its tool tip response

Jianguo Ding1 , Yu Chang1, Peng Chen1, Hui Zhuang1, Yuanyuan Ding2, Hanjing Lu2,3, Yiheng Chen2
School of Science, Nanjing University of Science and Technology, Nanjing, People’s Republic of China
Institute of Launch Dynamics, Nanjing University of Science and Technology, Nanjing, People’s Republic of China
Department of Engineering, Aarhus University, Aarhus, Denmark
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Abstract

The dynamic performances of an ultra-precision fly cutting machine tool (UFCMT) has a dramatic impact on the quality of ultra-precision machining. In this study, the dynamic model of an UFCMT was established based on the transfer matrix method for multibody systems. In particular, the large-span scale flow field mesh model was created; and the variation in linear and angular stiffness of journal and thrust bearings with respect to film thickness was investigated by adopting the dynamic mesh technique. The dynamic model was proven to be valid by comparing the dynamic characteristics of the machine tool obtained by numerical simulation with the experimental results. In addition, the power spectrum density estimation method was adopted to simulate the statistical ambient vibration excitation by processing the ambient vibration signal measured over a long period of time. Applying it to the dynamic model, the dynamic response of the tool tip under ambient vibration was investigated. The results elucidated that the tool tip response was significantly affected by ambient vibration, and the isolation foundation had a good effect on vibration isolation.

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International Journal of Extreme Manufacturing
Pages 025301-025301

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Cite this article:
Ding J, Chang Y, Chen P, et al. Dynamic modeling of ultra-precision fly cutting machine tool and the effect of ambient vibration on its tool tip response. International Journal of Extreme Manufacturing, 2020, 2(2): 025301. https://doi.org/10.1088/2631-7990/ab7b59

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Received: 25 December 2019
Revised: 14 February 2020
Accepted: 01 March 2020
Published: 24 March 2020
© 2020 The Author(s).

Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.