4.6 Article

A Compact Three-Dimensional Two-Layer Flexible Hinge

期刊

MACHINES
卷 11, 期 8, 页码 -

出版社

MDPI
DOI: 10.3390/machines11080825

关键词

flexible hinge; series; compliance; analytical; stiffness; three-dimensional; load; displacement; small deformations

向作者/读者索取更多资源

The paper proposes a new three-dimensional flexible hinge that consists of serially linked straight- and circular-axis segments distributed in two layers. This novel hinge configuration enables large displacements and is suitable for precision-compliant mechanisms requiring large spatial workspaces. The article presents simplified geometry-based analytical compliance models to connect loads to hinge displacements, which are validated through finite element simulations and experimental prototype testing. Moreover, a compliance-based analytical model evaluates the maximum loads and resulting displacements, while two small-deformation analytical models investigate the relationship between geometric parameters and hinge performance qualifiers.
The paper proposes a new three-dimensional flexible hinge formed of several serially linked straight- and circular-axis segments that are disposed of in two layers. The novel hinge configuration is capable of large displacements and can be implemented in precision-compliant mechanisms that need to cover large spatial workspaces. Based on simplified geometry, an analytical compliance model is formulated that connects the loads to the displacements at one end of the hinge. Finite element simulation and experimental prototype testing of actual-geometry hinge configurations confirm the analytical model predictions. A related compliance-based analytical model evaluates the maximum loads that can be applied to the hinge and the resulting displacements. The two small-deformation analytical models are subsequently utilized to investigate the relationship between geometric parameters and the hinge performance qualifiers.

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

4.6
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