软机器人
材料科学
软质材料
聚乙烯醇
机械强度
明胶
自愈
环境友好型
复合材料
人工智能
纳米技术
机器人
计算机科学
医学
生物化学
化学
替代医学
病理
生态学
生物
作者
Rui Chen,Xin Li,Qingrong Xiong,Xinyu Zhu,Qianqian Wang,Wenbiao Wang,Guanjun Bao,Zhe Chen,Changyong Cao,Jun Luo
标识
DOI:10.1016/j.matdes.2023.111783
摘要
Soft materials enable soft robots to accommodate unstructured working environments robustly. However, they may be easily damaged and destroyed due to their weak mechanical properties. Moreover, most soft materials are not repairable or degradable after being broken or abandoned, resulting in new environmental burdens. Here, a self-healable, recyclable, and degradable soft material (SRDSM) with a network structure formed with gelatin and polyvinyl alcohol (PVA) is reported. The SRDSM exhibits a fracture strength of 3–4 MPa and a stretchability of up to 300 %-400 % by controlling the composition ratio and drying time. Results show that the SRDSM can recover 90 % of its original mechanical strength after healing and 95 % after recycling. An SRDSM-based soft gripper is demonstrated that can be self-healed under thermal cycling after minor damage. It can be recycled and remanufactured to restore its original functionality after severe damage. Furthermore, the soft gripper can decomposes and degrades entirely after contact with water. This research provides an enabling material to develop environmental-friendly and recyclable soft robots, reducing their negative environmental impact.
科研通智能强力驱动
Strongly Powered by AbleSci AI