形状记忆聚合物变形模式研究进展

doi:10.6023/A20060219

化学学报 ›› 2020, Vol. 78 ›› Issue (9): 865-876.DOI: 10.6023/A20060219 上一篇下一篇

综述

形状记忆聚合物变形模式研究进展

张澜^a, 马愫倩^a, 王寒冰^b, 梁云虹^a, 张志辉^a

a 吉林大学教育部仿生工程重点实验室长春 130025;
b 吉林省产品质量监督检验院长春 130000

投稿日期:2020-06-09 发布日期:2020-08-01
通讯作者: 梁云虹 E-mail:liangyunhong@jlu.edu.cn
作者简介:张澜,女,吉林大学仿生科学与工程在读博士.2016年6月毕业于长春理工大学,获得学士学位,2016年至今就读于吉林大学,主要研究方向为形状记忆聚合物的3D打印以及聚合物的改性与制备研究;梁云虹,女,吉林大学教授,博士生导师.2008年于吉林大学材料科学与工程学院获得博士学位,随后在吉林大学进行博士后研究.2011年至今在吉林大学任教,2016~2017年间作为访问学者在英国曼彻斯特大学进行研究交流.主要研究方向为仿生机械结构设计与功能材料制造、仿生自驱动柔性机器人设计与智能材料制造、仿生3D与4D打印技术等.
基金资助:
项目受国家重点研发计划（2018YFB1105100，2018YFA0703300和2018YFC2001300）、国家自然科学基金（51822504，51675223和91848204）、吉林省科技攻关项目（20180201051GX）、吉林大学科技创新研究团队计划（2017TD-04）、装备预研教育部联合基金（2018G944J00084）和中国博士后科学基金（2019M661204）资助.

Research Progress of Shape Memory Polymer Deformation Mode

Zhang Lan^a, Ma Suqian^a, Wang Hanbing^b, Liang Yunhong^a, Zhang Zhihui^a

a The Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130025, China;
b Jilin Province Product Quality Supervision and Inspection Institute, Changchun 130000, China

Received:2020-06-09 Published:2020-08-01
Supported by:
Project supported by the National Key Research and Development Program of China (2018YFB1105100, 2018YFA0703300 and 2018YFC2001300), the National Natural Science Foundation of China (51822504, 51675223 and 91848204), Key Scientific and Technological Project of Jilin Province (20180201051GX), Program for Jilin University Science and Technology Innovative Research Team (2017TD-04), Joint Fund of Ministry of Education for Equipment Pre-research (2018G944J00084) and China Postdoctoral Science Foundation (2019M661204).

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摘要/Abstract

近年来，形状记忆聚合物（SMP）的发展取得了明显进步，其自身的优势也得到了充分的展示.形状记忆聚合物是一种刺激响应智能材料，在特定的外部刺激条件下可以根据预先设计的方式改变形状.形状记忆聚合物具有密度低、变形量大、驱动方式丰富、生物相容性好等一系列优势，使其在航空航天、生物医学、仿生工程、电子元件、智能机器人等领域有着巨大的应用潜力.为了更好地适应不同应用和不同领域的需求，形状记忆聚合物的变形模式也在不断地创新，本综述介绍了形状记忆聚合物不同的变形方式及其相关应用的进展，并对形状记忆聚合物面临的挑战和其潜在的研究方向进行了展望.

关键词: 形状记忆聚合物, 智能材料, 变形模式, 刺激响应

Shape memory polymers are the most widely studied smart deformable materials at present. Due to their low density, large deformation, high stress resistance, various driving methods, good biocompatibility, easier modification and processing, shape memory polymers have become a cutting-edge research in the field of smart materials. Under certain external stimulus (such as temperature, light, electric field, magnetic field, pH, specific ions, enzymes, etc.), shape memory polymers can change their shapes according to pre-designed way and quickly change from temporary shape to permanent shape. Shape memory polymers have shown great application potential in aerospace, biomedicine, bionic engineering, electronic devices, intelligent robots and other fields, which effectively overcome the bottleneck problems in the corresponding fields. In order to make the shape memory polymers more suitable for various fields, not only a simple deformation process from a temporary shape to a permanent shape is needed, the deformation mode should also be improved to adapt the actual situation in practical applications. In this paper, the deformation modes of shape memory polymers are divided into four categories, including the simple dual shape memory deformation mode, the multiple shape memory deformation mode with multiple temporary shapes, the self-folding deformation mode, and the reversible two-way shape memory deformation mode. Multiple shape memory polymers generally have multiple reversible switches or a wide range of temperature switches, which have greater freedom in practical applications. The self-folding structure can spontaneously fold/unfold to the desired shape under stimulation conditions without artificially giving shape, so it has great application prospects in the fields of space systems and self-assembly systems. The reversible shape memory polymer can reversibly convert between permanent and temporary shapes under stimulation conditions, which show great application prospects in the fields of sensors and drivers. The deformation modes are more diversified which can fulfill different requirements in various applications. The deformation mode is an important functional index of shape memory materials. Therefore, from the perspective of different deformation modes of shape memory polymers, this paper reviews the different deformation modes of shape memory polymers and the progress of their related applications, as well as the challenges faced by different deformation modes and their potential research directions.

Key words: shape memory polymer, smart materials, deformation mode, stimulus response

引用此文

张澜, 马愫倩, 王寒冰, 梁云虹, 张志辉. 形状记忆聚合物变形模式研究进展[J]. 化学学报, 2020, 78(9): 865-876.

Zhang Lan, Ma Suqian, Wang Hanbing, Liang Yunhong, Zhang Zhihui. Research Progress of Shape Memory Polymer Deformation Mode[J]. Acta Chimica Sinica, 2020, 78(9): 865-876.

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参考文献

[1] Song, J. J.; Srivastava, I.; Kowalski, J.; Naguib, H. E. Conference on Behavior and Mechanics of Multifunctional Materials and Composites, San Diego, 2014.
[2] Halary, J.; Cookson, P.; Stanford, J. L.; Lovell, P. A.; Young, R. J. Adv. Eng. Mater. 2004, 6, 729.
[3] Rapoport, N. Prog. Polym. Sci. 2007, 32, 962.
[4] Schmaljohann, D. Adv. Drug. Deliver. Rev. 2006, 58, 1655.
[5] Ionov, L. J. Mater. Chem. 2010, 20, 3382.
[6] Liu, F.; Urban, M. W. Prog. Polym. Sci. 2010, 35, 3.
[7] Stuart, M. A. C.; Huck, W. T.; Genzer, J.; Müller, M.; Ober, C.; Stamm, M.; Sukhorukov, G. B.; Szleifer, I.; Tsukruk, V. V.; Urban, M. Nat. Mater. 2010, 9, 101.
[8] Roy, D.; Cambre, J. N.; Sumerlin, B. S. Prog. Polym. Sci. 2010, 35, 278.
[9] Meng, H.; Hu, J. L. J. Intel. Mat. Syst. Str. 2010, 21, 859.
[10] Chen, X.; Chen, Y.; Liu, Y. Chin. J. Chem. 2018, 36, 526.
[11] Zhang, D.; Liu, J.; Chen, B.; Wang, J.; Jiang, L. Acta Chim. Sinica 2018, 76, 425(in Chinese). (张大杰, 刘捷, 陈波, 王京霞, 江雷, 化学学报, 2018, 76, 425.)
[12] Zhang, L.; Qian, M.; Wang, J. Acta Chim. Sinica 2017, 75, 770(in Chinese). (张留伟, 钱明, 王静云, 化学学报, 2017, 75, 770.)
[13] Guan, X.; Wang, L.; Li, Z.; Liu, M.; Wang, K.; Lin, B.; Yang, X.; Lai, S.; Lei, Z. Acta Chim. Sinica 2019, 77, 1036(in Chinese). (关晓琳, 王林, 李志飞, 刘美娜, 王凯龙, 林斌, 杨学琴, 来守军, 雷自强, 化学学报, 2019, 77, 1036.)
[14] Bai, C.; Huang, Q.; Xiong, X. Chin. J. Chem. 2020, 38, 494.
[15] Murphy, E. B.; Wudl, F. Prog. Polym. Sci. 2010, 35, 223.
[16] Zhang, W.; Zhang, F. H.; Lan, X.; Leng, J. S.; Wu, A. S.; Bryson, T. M.; Cotton, C.; Gu, B. H.; Sun, B. Z.; Chou, T. W. Compos. Sci. Technol. 2018, 160, 224.
[17] Liu, Y. J.; Du, H. Y.; Liu, L. W.; Leng, J. S. Smart Mater. Struct. 2014, 23, 023001.
[18] Hager, M. D.; Bode, S.; Weber, C.; Schubert, U. S. Prog. Polym. Sci. 2015, 49, 3.
[19] Li, J. J.; Xie, T. Macromolecules 2011, 44, 175.
[20] Small, W.; Wilson, T. S.; Benett, W. J.; Loge, J. M.; Maitland, D. J. Opt. Express. 2005, 13, 8204.
[21] Gunes, I. S.; Jimenez, G. A.; Jana, S. C. Carbon 2009, 47, 981.
[22] Lu, H. B.; Liu, Y. J.; Gou, J. H.; Leng, J. S.; Du, S. Y. Int. J. Smart Nano Mater. 2010, 1, 2.
[23] Yakacki, C. M.; Satarkar, N. S.; Gall, K.; Likos, R.; Hilt, J. Z. J. Appl. Polym. Sci. 2009, 112, 3166.
[24] Huang, W. M.; Yang, B.; An, L.; Li, C.; Chan, Y. S. Appl. Phys. Lett. 2005, 86, 114105.
[25] Chen, S. J.; Hu, J. L.; Zhuo, H. T. J. Mater. Sci. 2011, 46, 6581.
[26] Wei, K.; Zhu, G. M.; Tang, Y. S.; Tian, G. M.; Xie, J. Q. Smart Mater. Struct. 2012, 21, 055022.
[27] Xie, T.; Xiao, X.; Li, J.; Wang, R. Adv. Mater. 2010, 22, 4390.
[28] Bodaghi, M.; Damanpack, A. R.; Liao, W. H. Mater. Des. 2017, 135, 26.
[29] Hu, J. L.; Mondal, S. Polym. Int. 2005, 54, 764.
[30] Hu, J. L.; Yang, Z.; Yeung, L.; Ji, F.; Liu, Y. Polym. Int. 2005, 54, 854.
[31] Liu, C.; Qin, H.; Mather, P. T. J. Mater. Chem. 2007, 17, 1543.
[32] Beloshenko, V. A.; Varyukhin, V. N.; Voznyak, Y. V. Russ. Chem. Rev. 2005, 74, 265.
[33] Zhang, L.; Lin, Z; Zhou, Q.; Ma, S.; Liang, Y.; Zhang, Z. Front. Mater. Sci. 2020, 14, 177.
[34] Zhang, S.; Yu, Z.; Govender, T.; Luo, H.; Li, B. Polym. 2008, 49, 3205.
[35] Yu, Z.; Liu, Y.; Fan, M.; Meng, X.; Li, B.; Zhang, S. J. Polym. Sci. Pol. Phys. 2010, 48, 951.
[36] Voit, W.; Ware, T.; Dasari, R. R.; Smith, P.; Danz, L.; Simon, D.; Barlow, S.; Marder, S. R.; Gall, K. Adv. Funct. Mater. 2010, 20, 162.
[37] Nguyen, T. D.; Yakacki, C. M.; Brahmbhatt, P. D.; Chambers, M. L. Adv. Mater. 2010, 22, 3411.
[38] Ahn, S. K.; Deshmukh, P.; Kasi, R. M. Macromolecules 2010, 43, 7330.
[39] Zhang, J.; Niu, Y.; Huang, C.; Xiao, L.; Chen, Z.; Yang, K.; Wang, Y. Polym. Chem-UK. 2012, 3, 1390.
[40] Capadona, J. R.; Shanmuganathan, K.; Tyler, D. J.; Rowan, S. J.; Weder, C. Science 2008, 319, 1370.
[41] Bao, M.; Lou, X.; Zhou, Q.; Dong, W.; Yuan, H.; Zhang, Y. ACS Appl. Mater. Interfaces 2014, 6, 2611.
[42] Ren, L.; Li, B.; Song, Z.; Liu, Q.; Ren, L.; Zhou, X. J. Mater. Sci. 2019, 54, 6542.
[43] Behl, M.; Razzaq, M. Y.; Lendlein, A. Adv. Mater. 2010, 22, 3388.
[44] Leonardi, A. B.; Fasce, L. A.; Zucchi, I. A.; Hoppe, C. E.; Soule, E. R.; Perez, C. J.; Williams, R. J. J. Eur. Polym. J. 2011, 47, 362.
[45] Yu, K.; Ritchie, A.; Mao, Y.; Dunn, M. L.; Qi, H. J. Procedia. Iutam. 2015, 12, 193.
[46] Invernizzi, M.; Turri, S.; Levi, M.; Suriano, R. Eur. Polym. J. 2018, 101, 169.
[47] Mu, T.; Liu, L.; Lan, X.; Liu, Y.; Leng, J. Compos. Sci. Technol. 2018, 160, 169.
[48] Leng, J.; Liu, L.; Lv, H.; Liu, V. JEC Compos. 2012, 49, 56.
[49] Lendlein, A.; Behl, M.; Hiebl, B.; Wischke, C. Expet Rev. Med. Dev. 2010, 7, 357.
[50] Wache, H. M.; Tartakowska, D. J.; Hentrich, A.; Wagner, M. H. J. Mater. Sci. Mater. Med. 2003, 14, 109.
[51] Miao, S.; Castro, N.; Nowicki, M.; Xia, L.; Cui, H. T.; Zhou, X.; Zhu, W.; Lee, S. J.; Sarkar, K.; Vozzi, G.; Tabata, Y.; Fisher, J.; Zhang, L. G. Mater. Today 2017, 20, 577.
[52] Lee, J. H.; Hinchet, R.; Kim, S. K.; Kim, S.; Kim, S. W. Energy Environ. Sci. 2015, 8, 3605.
[53] Ge, Q.; Qi, H. J.; Dunn, M. L. Appl. Phys. Lett. 2013, 103, 1.
[54] Felton, S.; Tolley, M.; Demaine, E.; Rus, D.; Wood, R. Science 2014, 345, 644.
[55] Zarek, M.; Layani, M.; Cooperstein, I.; Sachyani, E.; Cohn, D.; Magdassi, S. Adv. Mater. 2015, 28, 4449.
[56] Meng, H.; Li, G. Polymer 2013, 54, 2199.
[57] Liu, T.; Zhou, T.; Yao, Y.; Zhang, F.; Liu, L.; Liu, Y.; Leng, J. Compos. Part A-Appl. Sci. Manufac. 2017, 100, 20.
[58] Hardy, J. G.; Palma, M.; Wind, S. J.; Biggs, M. J. Adv. Mater. 2016, 28, 5717.
[59] Yang, Y.; Chen, Y.; Wei, Y.; Li, Y. Int. J. Adv. Manuf. Technol. 2016, 84, 2079.
[60] Ge, Q.; Sakhaei, A. H.; Lee, H.; Dunn, C. K.; Fang, N. X.; Dunn, M. L. Sci. Rep. 2016, 6, 31110.
[61] Zarek, M.; Layani, M.; Cooperstein, I.; Sachyani, E.; Cohn, D.; Magdassi, S. Adv. Mater. 2016, 28, 4166.
[62] Senatov, F. S.; Niaza, K. V.; Zadorozhnyy, M. Y.; Maksimkin, A. V.; Kaloshkin, S. D.; Estrin, Y. Z. J. Mech. Behav. Biomed. Mater. 2016, 57, 139.
[63] Miao, S.; Zhu, W.; Castro, N. J.; Leng, J.; Zhang, L. G. Tissue Eng. Part C-Methods 2016, 22, 952.
[64] Wei, H.; Zhang, Q.; Yao, Y.; Liu, L.; Liu, Y.; Leng, J. ACS Appl. Mater. Interfaces 2017, 9, 876.
[65] Zarek, M.; Mansour, N.; Shapira, S.; Cohn, D. Macromol. Rapid Commun. 2017, 38, 1600628.
[66] Li, G.; King, A.; Xu, T.; Huang, X. J. Mater. Civil. Eng. 2013, 25, 393.
[67] Ahn, S. K.; Kasi, R. M. Adv. Funct. Mater. 2011, 21, 4543.
[68] Luo, X.; Mather, P. T. Adv. Funct. Mater. 2010, 20, 2649.
[69] Wu, J.; Yuan, C.; Ding, Z.; Isakov, M.; Mao, Y.; Wang, T.; Dunn, M. L.; Qi, H. J. Sci. Rep-UK. 2016, 6, 24224.
[70] Xie, T.; Xiao, X.; Cheng, Y. Macromol. Rapid Commun. 2009, 30, 1823.
[71] Cuevas, J. M.; Rubio, R.; German, L.; Laza, J. M.; Vilas, J. L.; Rodriguez, M.; Leon, L. M. Soft Matter 2012, 8, 4928.
[72] Bellin, I.; Kelch, S.; Lendlein, A. J. Mater. Chem. 2007, 17, 2885.
[73] Kolesov, I. S.; Radusch, H. J. Express. Polym. Lett. 2008, 2, 461.
[74] Li, J.; Liu, T.; Xia, S.; Pan, Y.; Zheng, Z.; Ding, X.; Peng, Y. J. Mater. Chem. 2011, 21, 12213.
[75] Kumar, U. N.; Kratz, K.; Wagermaier, W.; Behl, M.; Lendlein, A. J. Mater. Chem. 2010, 20, 3404.
[76] Peraza-Hernandez, E. A.; Hartl, D. J.; Malak, R. J.; Lagoudas, D. C. Smart Mater. Struct. 2014, 23, 094001.
[77] Zhang, Y.; Zhang, F.; Yan, Z.; Ma, Q.; Li, X.; Huang, Y. Nat. Rev. Mater. 2017, 2, 17029.
[78] van Manen, T.; Janbaz, S.; Zadpoor, A. A. Mater. Horiz. 2017, 4, 1064.
[79] Zhang, Q.; Yan, D.; Zhang, K.; Hu, G. Sci. Rep. 2015, 5, 8936.
[80] Liu, Y.; Boyles, J. K.; Genzer, J.; Dickey, M. D. Soft Matter 2012, 8, 1764.
[81] Felton, S. M.; Becker, K. P.; Aukes, D. M.; Wood, R. J. J. Micromech. Microeng. 2015, 25, 085004.
[82] Mao, Y.; Yu, K.; Isakov, M. S.; Wu, J.; Qi, H. J. Sci. Rep. 2015, 5, 13616.
[83] Tolley, M. T.; Felton, S. M.; Miyashita, S.; Aukes, D.; Rus, D.; Wood, R. J. Smart Mater. Struct. 2014, 23, 094006.
[84] Felton, S. M.; Tolley, M. T.; Shin, B.; Onal, C. D.; Demaine, E. D.; Rus, D.; Wood, R. J. Soft Matter 2013, 9, 7699.
[85] Zakharchenko, S.; Puretskiy, N.; Stoychev, G.; Stamm, M.; Ionov, L. Soft Matter 2010, 6, 2633.
[86] Stoychev, G.; Puretskiy, N.; Ionov, L. Soft Matter 2011, 7, 3277.
[87] Zhou, J.; Sheiko, S. S. J. Polym. Sci. Phys. 2016, 54, 1365.
[88] Behl, M.; Kratz, K.; Noechel, U.; Sauter, T.; Lendlein, A. Proc. Natl. Acad. Sci. U. S. A. 2013, 110, 12555.
[89] Westbrook, K. K.; Mather, P. T.; Parakh, V.; Dunn, M. L.; Ge, Q.; Lee, B. M.; Qi, H. J. Smart Mater. Struct. 2011, 20, 065010.
[90] Pyo, Y.; Kang, M.; Jang, J. Y.; Park, Y.; Son, Y. H.; Choi, M.; Ha, J. W.; Chang, Y. W.; Lee, C. S. Sensor. Actuat. A-Phys. 2018, 283, 187.
[91] Mao, Y.; Ding, Z.; Yuan, C.; Ai, S.; Isakov, M.; Wu, J.; Wang, T.; Dunn, M. L.; Qi, H. J. Sci. Rep-UK. 2016, 6, 24761.
[92] Ze, Q.; Kuang, X.; Wu, S.; Wong, J.; Montgomery, S. M.; Zhang, R.; Kovitz, J. M.; Yang, F.; Qi, H. J.; Zhao, R. Adv. Mater. 2019, 32, 1906657.
[93] Wang, L.; Razzaq, M. Y.; Rudolph, T.; Heuchel, M.; Nochel, U.; Mansfeld, U.; Jiang, Y.; Gould, O. E. C.; Behl, M.; Kratz, K.; Lendlein, A. Mater. Horiz. 2018, 5, 861.
[94] Behl, M.; Kratz, K.; Zotzmann, J.; Noechel, U.; Lendlein, A. Adv. Mater. 2013, 25, 4466.
[95] Gao, Y.; Liu, W.; Zhu, S. ACS Appl. Mater. Interfaces 2017, 9, 4882.

形状记忆聚合物变形模式研究进展

Research Progress of Shape Memory Polymer Deformation Mode

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