Bio-Inspired Double-Layered Hydrogel Robot with Fast Response via Thermo-Responsive Effect

Materials Pub Date : 2024-07-25 DOI:10.3390/ma17153679
Yunsong Liu, Xiong Zheng
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Abstract

Bio-inspired hydrogel robots have become promising due to their advantage of the interaction safety and comfort between robots and humans, while current hydrogel robots mainly focus on underwater movement due to the hydration–dehydration process of thermo-responsive hydrogels, which greatly limits their practical applications. To expand the motion of the thermo-responsive hydrogel robot to the ground, we constructed a hydrogel robot inspired by a caterpillar, which has an anisotropic double-layered structure by the interfacial diffusion polymerization method. Adding PVA and SA to PNIPAm will cause different conformation transitions. Therefore, sticking the two layers of hydrogel together will form a double-layer anisotropic structure. The ultra-high hydrophilicity of PVA and SA significantly reduces the contact angle of the hydrogel from 53.1° to about 10° and reduces its hydration time. The responsive time for bending 30° of the hydrogel robot has been greatly reduced from 1 h to half an hour through the enhancement of photo-thermal conversion and thermal conductivity via the addition of Fe3O4 nanoparticles. As a result, the fabricated hydrogel robot can achieve a high moving speed of 54.5 mm·h−1 on the ground. Additionally, the fabricated hydrogel has excellent mechanical strength and can endure significant flexibility tests. This work may pave the road for the development of soft robots and expand their applications in industry.
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受生物启发的双层水凝胶机器人通过热响应效应实现快速响应
受生物启发的水凝胶机器人因其机器人与人类交互安全、舒适的优势而前景广阔,而目前的水凝胶机器人由于热响应水凝胶的水化-脱水过程,主要集中在水下运动,这极大地限制了其实际应用。为了将热响应水凝胶机器人的运动拓展到地面,我们以毛毛虫为灵感,通过界面扩散聚合法构建了一种具有各向异性双层结构的水凝胶机器人。在 PNIPAm 中添加 PVA 和 SA 会导致不同的构象转变。因此,将两层水凝胶粘在一起就会形成双层各向异性结构。PVA 和 SA 的超高亲水性大大降低了水凝胶的接触角,从 53.1°降至约 10°,并缩短了水合时间。通过添加 Fe3O4 纳米粒子提高光热转换率和热导率,水凝胶机器人弯曲 30° 的响应时间从 1 小时大大缩短到半小时。因此,制成的水凝胶机器人在地面上的移动速度高达 54.5 mm-h-1。此外,制成的水凝胶还具有出色的机械强度,并能经受大量的柔韧性测试。这项工作可能会为软机器人的开发铺平道路,并扩大其在工业领域的应用。
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