Shape Memory and Self-healing Properties of Epoxy Resin Composite Using Mesoporous Silica SBA-15 with GMA as Self-healing Agent

被引：0
|
作者：
Zou Y. [1 ]
Deng M. [1 ]
Zhang F. [1 ]
机构：
[1] School of Material Science and Engineering, Guilin University of Technology, Guilin
来源：
Gaofenzi Cailiao Kexue Yu Gongcheng/Polymeric Materials Science and Engineering | 2021年 / 37卷 / 06期
关键词：
Fracture toughness; Mesoporous silica; Self-healing; Shape memory epoxy;
D O I：
10.16865/j.cnki.1000-7555.2021.0153
中图分类号：
学科分类号：
摘要：
Self-healing materials have attracted more attentions over the past two decades. It is a challenge to prepare a polymer composite with both shape memory and self-healing properties. Herein, a healing agent glycidyl methacrylate (GMA) was loaded into the pores of mesoporous material SBA-15 (MS@GMA), then shape memory epoxy polymers composites (SMPC) with self-healing properties were prepared by adding SBA-15@GMA into hydrogenated bisphenol A epoxy resin and polyether amine. When the microcracks of the composites generated during application, GMA was released via capillary force which was initiated by initiator embedded in the composite, and then the polymerization occurred in the presence of reducing agent to heal the microcracks. SMPC was characterized by electronic universal testing machine and dynamic mechanical analysis (DMA). The properties of fracture toughness and shape memory were tested by single edge notch beam and U-type shape memory tests, respectively. The self-healing was also confirmed by scanning electron microscope (SEM). The SMPC exhibits good healing performance in the presence of 4% SBA-15 with GMA, and the modification of SBA-15 by silane coupling agent improves the compatibility with polymer matrix, thus increases the mechanical, shape memory and self-healing properties of the composite, the healing efficiency reaches 68%. The SMPC maintains the better shape recovery ratio after being subjected to the cycle test. © 2021, Editorial Board of Polymer Materials Science & Engineering. All right reserved.
引用
收藏
页码：79 / 84and93
页数：8414
相关论文
共 17 条
  • [1] Zhao Q, Qi H J, Xie T., Recent progress in shape memory polymer: new behavior, enabling materials, and mechanistic understanding, Progress in Polymer Science, 49, 50, pp. 79-120, (2015)
  • [2] Zhang L, Jiao H, Jiu H, Et al., Thermal, mechanical and electrical properties of polyurethane/(3-aminopropyl) triethoxysilane functionalized graphene/epoxy resin interpenetrating shape memory polymer composites, Composites Part A: Applied Science and Manufacturing, 90, pp. 286-295, (2016)
  • [3] Luo X, Mather P T., Shape memory assisted self-healing coating, ACS Macro Letters, 2, pp. 152-156, (2013)
  • [4] Dong Y B, Ni Q Q, Fu Y Q., Preparation and characterization of water-borne epoxy shape memory composites containing silica, Composites Part A: Applied Science and Manufacturing, 72, pp. 1-10, (2015)
  • [5] Li F, Scarpa F, Lan X, Et al., Bending shape recovery of unidirectional carbon fiber reinforced epoxy-based shape memory polymer composites, Composites Part A: Applied Science and Manufacturing, 116, pp. 169-179, (2019)
  • [6] Yazik M H M, Sultan M T H, Shah A U M, Et al., Effect of MWCNT content on thermal and shape memory properties of epoxy nanocomposites as material for morphing wing skin, Journal of Thermal Analysis and Calorimetry, 139, pp. 147-158, (2020)
  • [7] Idumah C I, Odera S R., Recent advancement in self-healing graphene polymer nanocomposites, shape memory, and coating materials, Polymer-Plastics Technology and Materials, 59, pp. 1167-1190, (2020)
  • [8] Li Z H, Hu J K, Chen M, Et al., Hydroxyl-terminated polydimethylsiloxane modified shape memory epoxy resin, Polymer Materials Science & Engineering, 34, 1, pp. 160-165, (2018)
  • [9] Zhang M Q, Rong M Z., Self-Healing polymeric materials towards strength recovery for structural applications, Acta Polymerica Sinica, 11, pp. 1183-1199, (2012)
  • [10] Ma Y H, Du X Y, Hu R W, Et al., Development of Self-healing composite materials with microvascular networks, Polymer Materials Science & Engineering, 34, 1, pp. 166-172, (2018)
12