Du Changshen, Dai Shuhong, Sun Qinglin
School of Engineering and Mechanics, Liaoning Technical University, Fuxin 123000, China.
Polymers (Basel). 2025 Jul 31;17(15):2122. doi: 10.3390/polym17152122.
Liquid crystal elastomers (LCEs) have shown great potential in the field of soft robotics due to their unique actuation capabilities. Despite the growing number of experimental studies in the soft robotics field, theoretical research remains limited. In this paper, a dynamic model of a bionic arm using an LCE fiber as artificial muscle is established, which exhibits periodic oscillation controlled by periodic illumination. Based on the assumption of linear damping and angular momentum theorem, the dynamics equation of the model oscillation is derived. Then, based on the assumption of linear elasticity model, the periodic spring force of the fiber is given. Subsequently, the evolution equations for the number fraction within the fiber are developed, and consequently, the analytical solution for the light-excited strain is derived. Following that, the dynamics equation is numerically solved, and the mechanism of the controllable oscillation is elucidated. Numerical calculations show that the stable oscillation period of the bionic arm depends on the illumination period. When the illumination period aligns with the natural period of the bionic arm, the resonance is formed and the amplitude is the largest. Additionally, the effects of various parameters on forced oscillation are analyzed. The results of numerical studies on the bionic arm can provide theoretical support for the design of micro-machines, bionic devices, soft robots, biomedical devices, and energy harvesters.
由于其独特的驱动能力,液晶弹性体(LCEs)在软机器人领域展现出了巨大潜力。尽管软机器人领域的实验研究数量不断增加,但理论研究仍然有限。本文建立了一个以LCE纤维作为人工肌肉的仿生手臂动力学模型,该模型在周期性光照控制下呈现周期性振荡。基于线性阻尼假设和角动量定理,推导了模型振荡的动力学方程。然后,基于线性弹性模型假设,给出了纤维的周期性弹力。随后,建立了纤维内数分数的演化方程,进而推导出光激发应变的解析解。在此之后,对动力学方程进行了数值求解,并阐明了可控振荡的机制。数值计算表明,仿生手臂的稳定振荡周期取决于光照周期。当光照周期与仿生手臂的自然周期一致时,会形成共振且振幅最大。此外,分析了各种参数对受迫振荡的影响。对仿生手臂的数值研究结果可为微机械、仿生器件、软机器人、生物医学器件和能量采集器的设计提供理论支持。