Review

Research Progress of Shape Memory Polymer Deformation Mode

  • Zhang Lan ,
  • Ma Suqian ,
  • Wang Hanbing ,
  • Liang Yunhong ,
  • Zhang Zhihui
Expand
  • 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 date: 2020-06-09

  Online 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).

Abstract

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.

Cite this article

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 . DOI: 10.6023/A20060219

References

[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.
Outlines

/