Multi-layer graphene oxide coated shape memory polyurethane for adjustable smart switches

被引:17
作者
Yan, Yongjie [1 ]
Xia, Hong [2 ]
Qiu, Yiping [3 ]
Xu, Zhenzhen [4 ]
Ni, Qing-Qing [2 ]
机构
[1] Shinshu Univ, Interdisciplinary Grad Sch Sci & Technol, 3-15-1 Tokida, Ueda, Nagano 3868576, Japan
[2] Shinshu Univ, Dept Mech Engn & Robot, 3-15-1 Tokida, Ueda, Nagano 3868576, Japan
[3] Donghua Univ, Coll Text, Dept Hightech Text, Shanghai 201620, Peoples R China
[4] Anhui Polytech Univ, Coll Text & Garments, Wuhu 241000, Anhui, Peoples R China
关键词
Coating; Layered structures; Smart materials; Surface treatments; Mechanical properties; MULTIBLOCK COPOLYMERS; COMPOSITES; POLYMERS; NANOCOMPOSITES; CRYSTALLINE; ACTUATION; HYDROGELS;
D O I
10.1016/j.compscitech.2019.01.013
中图分类号
TB33 [复合材料];
学科分类号
摘要
Multi-layer graphene oxide (MLGO) coated shape memory polyurethane (MLGO@SMPU) with different layers was fabricated by multiple dipping for adjustable shape memory switching devices. The MLGO, which stacked together in parallel, evenly covered the surface of the SMPU. Stress strain testing indicated that the coating of GO improved the mechanical strength of these MLGO@SMPU composites in the stretching stage below the strain of approximately 6%. Adhesive force testing suggested that the first GO layer could adhere well to the SMPU surface, but the interaction force between GO layers was weak. The angle recovery ratio and time, bending recovery force, and angle fixity ratio of these MLGO@SMPU composites were evaluated using homemade evaluation apparatus. Results indicated that with the increase of GO layers from one to five layers, the MLGO@ SMPU gave an angle recovery ratio reduced to 83.2%, recovery time decreased to 7.6 s, bending recovery force increased to 18.3 mN, and angle fixity ratio decreased to 83.3%. This novel and straightforward approach of dipping graphene oxide onto shape memory substrates for adjustable recovery ratio, time and force has the potential to be applied to smart switching devices including sensors and actuators.
引用
收藏
页码:108 / 116
页数:9
相关论文
共 52 条
  • [21] Double Crystalline Multiblock Copolymers with Controlling Microstructure for High Shape Memory Fixity and Recovery
    Huang, Miaoming
    Zheng, Liuchun
    Wang, Lili
    Dong, Xia
    Gao, Xia
    Li, Chuncheng
    Wang, Dujin
    [J]. ACS APPLIED MATERIALS & INTERFACES, 2017, 9 (35) : 30046 - 30055
  • [22] PREPARATION OF GRAPHITIC OXIDE
    HUMMERS, WS
    OFFEMAN, RE
    [J]. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 1958, 80 (06) : 1339 - 1339
  • [23] A review of shape memory alloy research, applications and opportunities
    Jani, Jaronie Mohd
    Leary, Martin
    Subic, Aleksandar
    Gibson, Mark A.
    [J]. MATERIALS & DESIGN, 2014, 56 : 1078 - 1113
  • [24] Visible Light-Induced Plasticity of Shape Memory Polymers
    Ji, Shaobo
    Fan, Fuqiang
    Sun, Chenxing
    Yu, Ying
    Xu, Huaping
    [J]. ACS APPLIED MATERIALS & INTERFACES, 2017, 9 (38) : 33169 - 33175
  • [25] Shape memory effect and recovery stress property of carbon nanotube/waterborne epoxy nanocomposites investigated via TMA
    Jian Lu
    Arsalan, Ahmed
    Dong, Yubing
    Zhu, Yaofeng
    Chen Qian
    Rui Wang
    Chen Cuilan
    Fu, Yaqin
    Ni, Qing-Qing
    Ali, Khoso Nazakat
    [J]. POLYMER TESTING, 2017, 59 : 462 - 469
  • [26] Shape Memory and Superelastic Ceramics at Small Scales
    Lai, Alan
    Du, Zehui
    Gan, Chee Lip
    Schuh, Christopher A.
    [J]. SCIENCE, 2013, 341 (6153) : 1505 - 1508
  • [27] Fiber reinforced shape-memory polymer composite and its application in a deployable hinge
    Lan, Xin
    Liu, Yanju
    Lv, Haibao
    Wang, Xiaohua
    Leng, Jinsong
    Du, Shanyi
    [J]. SMART MATERIALS AND STRUCTURES, 2009, 18 (02)
  • [28] A Novel Anisotropic Hydrogel with Integrated Self-Deformation and Controllable Shape Memory Effect
    Le, Xiao-xia
    Zhang, Yu-chong
    Lu, Wei
    Wang, Li
    Zheng, Jing
    Ali, Israt
    Zhang, Jia-wei
    Huang, You-ju
    Serpe, Michael J.
    Yang, Xi-tao
    Fan, Xin-dong
    Chen, Tao
    [J]. MACROMOLECULAR RAPID COMMUNICATIONS, 2018, 39 (09)
  • [29] Robust Vacuum-/Air-Dried Graphene Aerogels and Fast Recoverable Shape-Memory Hybrid Foams
    Li, Chenwei
    Qiu, Ling
    Zhang, Baoqing
    Li, Dan
    Liu, Chen-Yang
    [J]. ADVANCED MATERIALS, 2016, 28 (07) : 1510 - 1516
  • [30] Shape memory polymer based self-healing syntactic foam: 3-D confined thermomechanical characterization
    Li, Guogiang
    Uppu, Naveen
    [J]. COMPOSITES SCIENCE AND TECHNOLOGY, 2010, 70 (09) : 1419 - 1427