水下软机器人栅格增强形状记忆合金作动器设计。

IF 6.1
Liao Li, Shijie Wang, Qi Zhang, Shuang Xu, Lixiao Huang, Yanyue Teng, Qi Wen, Yang Wang, Libo Gao, Lihong Wang, Qiqiang Hu, Junyang Li
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引用次数: 0

摘要

在软体机器人的发展过程中,形状记忆合金(SMA)驱动器因其高功率重量比、低驱动电压和高响应速度等固有优势而备受关注。本研究提出了一种晶格增强SMA致动器,具有提高响应速度和增加变形范围的特点。SMA钢丝用于驱动执行器实现弯曲,而高弹性钢丝的弹性用于实现恢复。驱动器被铸造成具有五个连接节点的晶格结构,命名为lattice - n5。通过有限元分析和实验验证了Lattice-N5的快速响应特性。与无点阵结构(非点阵结构)作动器相比,在最优(电压为20 V,占空比为30%,频率为4 Hz)和实际(电压为20 V,占空比为20%,频率为1 Hz)条件下,栅格- n5的弯曲变形分别增加了390.59%和204.4%,而在周期驱动下,栅格- n5的弯曲变形更快达到稳定状态。因此,栅格增强致动器具有鲁棒的致动能力和提高的响应频率,因此可以结合柔性压力传感器用于仿生水母机器人的水下监测和探测。此外,采用Lattice-N5作动器的水母机器人在最佳条件下(占空比为20%,频率为4 Hz)的速度提高了111%,在实际条件下(电压为20 V,占空比为20%,频率为1 Hz)的速度比非晶格机器人提高了55%。本研究为提高SMA作动器的性能,促进水下软机器人的发展提供了一种简单有效的设计方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a Lattice-Reinforced Shape Memory Alloy Actuator for Underwater Soft Robots.

Throughout the development of soft robots, shape memory alloy (SMA) actuators have received considerable attention due to their inherent advantages, such as high power-to-weight ratio, low driving voltage, and high response speed. This study presents a lattice-reinforced SMA actuator with improved response speed and increased deformation range. The SMA wires are used to drive the actuator to achieve bending, while the high elastic wire's elasticity is used to achieve recovery. The actuator is cast into a lattice structure with five connection nodes, named Lattice-N5. Lattice-N5's fast response properties are validated through finite element analysis and experiments. Compared with the actuator without lattice structure (nonlattice), lattice-N5's bending deformation increases by up to 390.59% and 204.4% under optimal (voltage of 20 V, duty ratio of 30%, and frequency of 4 Hz) and practical (voltage of 20 V, duty ratio of 20% and frequency of 1 Hz) conditions, respectively, while reaching a stable state more rapidly under a periodic actuation. Therefore, the lattice-reinforced actuator exhibits robust actuation capabilities and improved response frequencies and thus can be employed in a biomimetic jellyfish robot for underwater monitoring and detection by combining a flexible pressure sensor. Moreover, the jellyfish robot with Lattice-N5 actuators exhibits a speed improvement of 111% under the optimal condition (duty ratio of 20% and frequency of 4 Hz) and 55% under the practical condition (voltage of 20 V, duty ratio of 20% and frequency of 1 Hz) compared with the robot with the nonlattice. This study provides a simple and effective design scheme for improving the performance of SMA actuators and prompting the development of underwater soft robots.

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