4.7 Article

Sensitivity analysis of parametric errors on the performance of a torsion quasi-zero-stiffness vibration isolator

期刊

INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
卷 134, 期 -, 页码 336-346

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijmecsci.2017.10.026

关键词

Design parameter errors; Error analysis; Torsion quasi-zero stiffness; Low frequency; Vibration isolation

资金

  1. National Key R&D Program of China [2017YFB1102801]
  2. National Natural Science Foundation of China [11572116]
  3. Natural Science Foundation of Hunan Province [2016JJ3036]
  4. Fundamental Research Funds for the Central Universities

向作者/读者索取更多资源

A quasi-zero-stiffness (QZS) isolator can perform a good function of low-frequency vibration isolation, but its designed ultra-low dynamic stiffness could be notably affected by parametric errors, which usually occur in the manufacturing and assembling process. In this paper, the effects of design parameter errors on the performance of a torsion QZS vibration isolator are studied, and several useful guidelines for the manufacture and assembly of the QZS isolator are achieved. An approximate relationship between a single error and the jump-down frequency is obtained, and then the influence of a combination of multiple errors is investigated numerically. The results indicate that, as key parts of the QZS isolator, the universal wheel and cam should avoid positive manufacturing tolerances, while the shaft connector has to keep away from negative tolerance, and an assembly error of the disk spring stack should be mostly avoided as much as possible. Additionally, the degradations on the performance caused by single errors can be eliminated by a combination of multiple errors, due to a mutual counteraction of these influences. Most importantly, the QZS vibration isolation system still outperforms its linear counterpart, even though it has parametric errors. (C) 2017 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据