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带有嵌入式光源的液晶弹性体自振荡器。

Liquid crystal elastomer self-oscillator with embedded light source.

作者信息

Yu Yong, Yang Fan, Dai Yuntong, Li Kai

机构信息

School of Civil Engineering, Anhui Jianzhu University, Hefei, Anhui 230601, China.

出版信息

Phys Rev E. 2023 Nov;108(5-1):054702. doi: 10.1103/PhysRevE.108.054702.

Abstract

Light sources that switch periodically over time have a wide range of application value in life and engineering, and generally require additional controller to periodically switch circuits to achieve periodic lighting. In this paper, a self-oscillating spring oscillator based on optically responsive liquid crystal elastomer (LCE) fiber is constructed, which consists of a embedded light source and a LCE fiber. The spring oscillator can oscillate autonomously to achieve periodic switching of the light source. On the basis of the well-established dynamic LCE model, a nonlinear dynamic model is proposed and its dynamic behavior is studied. Numerical calculations demonstrate that the spring oscillator presents two motion regimes, namely the self-oscillation regime and the static regime. The self-oscillation of spring oscillator is maintained by the energy competition between light energy and damping dissipation. Furthermore, the critical conditions for triggering self-oscillation are also investigated in detail, as well as the key system parameters that affect its frequency and amplitude. Different from the existing abundant self-oscillating systems, this self-oscillating structure with simple structure and convenient fabrication does not require complex controller to obtain periodic lighting, and it is expected to provide more diversified design ideas for soft robots and sensors.

摘要

随时间周期性切换的光源在生活和工程中具有广泛的应用价值,并且通常需要额外的控制器来周期性地切换电路以实现周期性照明。本文构建了一种基于光响应液晶弹性体(LCE)纤维的自振荡弹簧振子,它由一个嵌入式光源和一根LCE纤维组成。该弹簧振子能够自主振荡以实现光源的周期性切换。在已建立的动态LCE模型的基础上,提出了一个非线性动力学模型并研究了其动力学行为。数值计算表明,弹簧振子呈现出两种运动状态,即自振荡状态和静态状态。弹簧振子的自振荡是由光能与阻尼耗散之间的能量竞争维持的。此外,还详细研究了触发自振荡的临界条件以及影响其频率和振幅的关键系统参数。与现有的丰富自振荡系统不同,这种结构简单、制作方便的自振荡结构无需复杂的控制器即可实现周期性照明,有望为软体机器人和传感器提供更多样化的设计思路。

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