Preliminary Theoretical Considerations on the Stiffness Characteristics of a Tensegrity Joint for the Use in Dynamic Orthoses

Author:

Schaeffer Leon1,Herrmann David1,Schratzenstaller Thomas12,Dendorfer Sebastian12,Böhm Valter1

Affiliation:

1. Faculty of Mechanical Engineering, OTH Regensburg, Seybothstraße 2, 93053 Regensburg, Bavaria, Germany

2. Regensburg Center of Biomedical Engineering, OTH Regensburg, Galgenbergstraße 30, 93053 Regensburg, Bavaria, Germany

Abstract

Early motion therapy plays an important role for effective long-term healing of joint injuries. In many cases, conventional dynamic orthoses fail to address the intricate movement possibilities of the underlying joints, limited by their simplistic joint representations, often represented by revolute joints, enabling rotations by only one axis. In this paper, a two-dimensional compliant tensegrity joint for use in biomedical applications is investigated. It consists of two compressed members and five compliant tensioned members. Relative movement possibilities are realized by the intrinsic compliance of the structure. In the development of these systems, the first step is the determination of the static stable equilibrium. This analysis is conducted in this paper by considering the potential energy approach or by using the geometric nonlinear finite element method. The mechanical behavior of the structure is assessed with a specific emphasis on its mechanical compliance. The primary objective of this study is the investigation of the influence of structural parameters on the overall stiffness and movability of the structure. The results underscore the significant effect of member parameters on the stiffness and movability of the compliant tensegrity joint, particularly under varying load magnitudes. These findings provide insights for optimizing the joint’s performance, contributing to its potential application in advanced orthotic and exoskeleton devices.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Applied Mathematics,Artificial Intelligence,Computer Science Applications,Human-Computer Interaction,Biomedical Engineering

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