Issue |
MATEC Web Conf.
Volume 70, 2016
2016 The 3rd International Conference on Manufacturing and Industrial Technologies
|
|
---|---|---|
Article Number | 02002 | |
Number of page(s) | 5 | |
Section | Mechanical Design-Manufacture and Automation | |
DOI | https://doi.org/10.1051/matecconf/20167002002 | |
Published online | 11 August 2016 |
Improvement of the Critical Speed of the Ball Screw Mechanism by Using Flexible Supported Nut
Beijing Municipal Key Lab of Advanced Manufacturing Technology, Beijing Municipal Key Lab of EDM Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, 100124, China
The ball screw with a long stroke has small rigidity in radial direction and is very liable to resonate dramatically during operation at high speed. For improving the critical speed of the ball screw, this paper investigates the influence of the supporting stiffness of the screw shaft at the nut on the resonance frequency of the screw shaft in the radial direction. The screw shaft is modeled as an Euler-Bernoulli beam with elastic supports at both ends and the position of the nut. According to the established model, the relationship between the natural frequencies and the supporting stiffness of the shaft at the nut can be obtained. The simulation results show that the flexible support at the position of the nut can effectively increase the minimum natural frequencies and reduce the variation range of the natural frequencies over the travel range of the nut. It is conducive to the vibration suppression and the critical speed improvement of the ball strew.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.