Session: VIB-02-01: Dynamics of Soft Media and Robotics

Paper Number: 90225

90225 - Data-Driven Modeling of a Pneumatic Yoshimura-Origami Structure With Tunable Dynamics 

Origami has been widely used in designing tunable metamaterial due to its folding-induced shape reconfigurability and changeable mechanical properties. However, there is still a lack in achieving tunability via active means, and the tunability still remains in a static domain. Thus, the aim of this research is to solve these two problems. By combining the six-layers Yoshimura-ori with pneumatic bladder together, a PYO cell is obtained. Noting that the Yoshimura-ori is coupled with the pneumatic bladder, and the physical parameters of the PYO cell are hard to obtain. Hence, a data-driven method which composed of the forward subset selection and the weighted least square (WLS) is carried out to establish the dynamic model. The whole structure is represented as a nonlinear spring-damper element. Based on the dynamic experiment data, the terms of the model could be determined through the forward subset selection. Then, we could use the WLS to identify the corresponding coefficients. Through numerical simulations, the proposed model could exhibit the frequency spectrum characteristic of the prototype effectively. The results of this paper could provide useful guidelines for the development of intelligent origami structures/metamaterials with excellent tunability, and meanwhile, extend the current investigation level from tunable quasi-static to tunable dynamics

Presenting Author: Suyi Li Department of Mechanical Engineering, Clemson University

Presenting Author Biography: Suyi Li joined the department in 2016 following appointments as postdoctoral research fellow at University of Michigan. His research is directed towards developing multi-functional structures that can autonomously alter their configurations and mechanical properties in response to external stimuli or control commands. To achieve this goal, he take inspirations from various examples in nature and art, such as plant species that are capable of rapid movements, and the rich topologies in origami paper folding. Lessons from these examples guide him to exploit the intricate relationships between the geometric forms and functionalities, and synthesize smart structures with programmable and adaptive properties for automotive, aerospace, architecture and many other applications.

Authors:

Qiwei Zhang School of Aerospace Engineering and Applied Mechanics,Tongji University
Hongbin Fang Institute of AI and Robotics, Fudan University
Jian Xu School of Aerospace Engineering and Applied Mechanics,Tongji University
Suyi Li Department of Mechanical Engineering, Clemson University