Characterization of Nonlinear Kirigami Springs Through Transient Response

F. Danzi, Joshua Jenkins, H. Tao, J. Gibert
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Abstract

Kirigami is defined as the ancient Japanese art of cutting and folding paper to create three-dimensional structures, which is a subset of the larger term. Recent developments in kirigami-based structures have sparked interest in the engineering community for the development of mechanical metastructures with customized behavior such as negative Poisson’s ratio, out-of-plane buckling, and soft robot locomotion. In this manuscript, nonlinear springs based on kirigami are developed; the springs can be used to create customized nonlinear oscillators and vibration suppression systems. A Helmholtz-Duffing oscillator with nonlinear damping is created by attaching a mass to a smooth track with the kirigami springs attached to it. Kirigami springs were made by strategically cutting plastic sheets in predetermined patterns and arranging them in a ring. Identification of the unknown system parameters is accomplished through the use of a two-step procedure. To determine the quasi-static behavior of the spring, it was first subjected to tensile testing. These parameters serve as the foundation for developing a strategy for determining the unknown energy loss parameters in a system. In the second step, the Method of Multiple Scales is used to develop an approximate solution for the transient response, which is then tested. This solution is coupled with an optimization routine that, by modifying the unknown model parameters, seeks to reduce the error between the experimental free oscillations and the developed analytical solution as closely as possible.
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非线性基里伽米弹簧的瞬态响应表征
Kirigami被定义为一种古老的日本艺术,通过剪纸和折叠纸来创造三维结构,这是更大术语的一个子集。基里伽米结构的最新进展引起了工程界对具有定制行为的机械元结构的开发的兴趣,例如负泊松比、面外屈曲和软机器人运动。本文研究了基于基里伽美的非线性弹簧;弹簧可用于创建定制的非线性振荡器和振动抑制系统。通过将一个质量附加到一个光滑的轨道上,并将其附加在基利伽米弹簧上,产生了一个具有非线性阻尼的亥姆霍兹-杜芬振荡器。Kirigami弹簧是通过有策略地将塑料片切割成预定的图案并将它们排列成一个环来制作的。未知系统参数的识别是通过使用两步程序来完成的。为了确定弹簧的准静态性能,首先对其进行了拉伸试验。这些参数是制定确定系统中未知能量损失参数策略的基础。第二步,采用多尺度法求出瞬态响应的近似解,并对其进行测试。该解决方案与优化程序相结合,该程序通过修改未知模型参数,寻求尽可能减少实验自由振荡与开发的分析解决方案之间的误差。
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