基于聚乙烯醇的高强度可修复超分子形状记忆塑料

王晓晗; 李洋; 孙俊奇

doi:10.11777/j.issn1000-3304.2021.21133

您当前的位置：

首页 >

文章列表页 >

基于聚乙烯醇的高强度可修复超分子形状记忆塑料

研究论文 | 更新时间：2022-09-30

- 基于聚乙烯醇的高强度可修复超分子形状记忆塑料
  增强出版
- Mechanically Robust and Healable Poly(vinyl alcohol)-based Shape Memory Supramolecular Plastics
- 高分子学报 2021年52卷第8期页码：1043-1052
- 作者机构：
  
  超分子结构与材料国家重点实验室吉林大学化学学院长春 130012
- 作者简介：
  
  E-mail: Sun_junqi@jlu.edu.cn
- 基金信息：
  
  国家自然科学基金(基金号 21935004)
- DOI：10.11777/j.issn1000-3304.2021.21133
  中图分类号：
- 纸质出版日期：2021-08-20，
  
  网络出版日期：2021-07-12，
  
  收稿日期：2021-05-10，
  
  修回日期：2021-06-03，
扫描看全文
王晓晗,李洋,孙俊奇.基于聚乙烯醇的高强度可修复超分子形状记忆塑料[J].高分子学报,2021,52(08):1043-1052.

Wang Xiao-han,Li Yang,Sun Jun-qi.Mechanically Robust and Healable Poly(vinyl alcohol)-based Shape Memory Supramolecular Plastics[J].ACTA POLYMERICA SINICA,2021,52(08):1043-1052.
王晓晗,李洋,孙俊奇.基于聚乙烯醇的高强度可修复超分子形状记忆塑料[J].高分子学报,2021,52(08):1043-1052. DOI： 10.11777/j.issn1000-3304.2021.21133.

Wang Xiao-han,Li Yang,Sun Jun-qi.Mechanically Robust and Healable Poly(vinyl alcohol)-based Shape Memory Supramolecular Plastics[J].ACTA POLYMERICA SINICA,2021,52(08):1043-1052. DOI： 10.11777/j.issn1000-3304.2021.21133.

摘要

理想的形状记忆材料不仅要具有优异的形状记忆效应，还要具有高的力学强度和对机械损伤与形状记忆疲劳的修复能力. 为制备安全可靠的形状记忆聚合物材料，本工作通过向聚乙烯醇(PVA)中引入带有吡啶基团的聚倍半硅氧烷(Py-POSS)，制备了一种可修复形状记忆效应疲劳和机械损伤的高强度PVA基超分子形状记忆塑料. 得益于Py-POSS与PVA之间的氢键，PVA半结晶网络的稳定性得到提高，进而显著提高了超分子塑料的强度和形状记忆能力. 所制备的超分子塑料的屈服强度和模量分别可达~85.7 MPa和~6.0 GPa，形状记忆固定率和回复率都可达~99%. 基于氢键的动态性，超分子塑料可在水的辅助下完全修复形状记忆的疲劳，也可修复机械损伤，展现了超分子塑料形状记忆性能优异的安全性和稳定性.

Abstract

The fabrication of shape memory polymers (SMPs) with robust mechanical properties

stable shape memory performance

and the capability to heal mechanical damage and fatigue of shape memory effect is highly desired but remains challenging. In this work

mechanically robust poly(vinyl alcohol) (PVA)‍-based shape memory supramolecular plastics capable of healing mechanical damage and fatigue of shape memory effect are fabricated by dispersing pyridine-functionalized polyhedral oligomeric silsesquioxane (Py-POSS) in PVA matrix. Due to the hydrogen bonds among PVA and Py-POSS

the stability of the physically cross-linked PVA network are effectively enhanced. The mechanical properties of the PVA/Py-POSS

supramolecular plastics

where

represents the weight ratio of Py-POSS to PVA

can be well-tailored by tailoring the mass ratio of the dispersed Py-POSS. The PVA/Py-POSS

2.7

exhibits the highest mechanical strength

with the tensile strength and storage modulus being ~85.7 MPa and ~6.0 GPa

respectively. Meanwhile

the PVA/Py-POSS

2.7

exhibits ultra-high shape memory effect with a shape recovery ratio (

) and shape fixing ratio (

) around ~99%. Due to the reversibility of hydrogen bonds

mobility of PVA chains can be greatly improved in the presence of water

which allows the PVA/Py-POSS

2.7

to heal the fatigued shape memory function. The total recovery ratio (

tot

) of the PVA/Py-POSS

2.7

is maintained above 93% after 90 folding/recovery cycles by conducting the healing step in a 90% RH environment after every 10 shape memory cycles. Based on the same mechanism

the mechanical damage on the PVA/Py-POSS

2.7

can also be fully healed with the assistance of water. The healed PVA/Py-POSS

2.7

exhibits the same shape memory function as the original sample does. The combination of ultra-high mechanical strength and healability enables the PVA/Py-POSS

2.7

to maintain its excellent shape memory performance during long time and repeated usage. Integrating nanofillers that have reversible interactions with polymer materials provide an effective avenue for fabricating high-performance SMPs with enhanced reliability and prolonged service time.

关键词

聚乙烯醇形状记忆聚合物自修复超分子塑料

Keywords

Poly(vinyl alcohol)Shape memory polymersSelf-healingSupramolecular plastics

references

Miaudet P, Derre A, Maugey M, Zakri C, Piccione P M, Inoubli R, Poulin P. Science, 2007, 318(5854): 1294-1296. doi:10.1126/science.1145593http://dx.doi.org/10.1126/science.1145593

Zheng Ning(郑宁), Xie Tao(谢涛). Acta Polymerica Sinica(高分子学报), 2017, (11): 1715-1724. doi:10.11777/j.issn1000-3304.2017.17161http://dx.doi.org/10.11777/j.issn1000-3304.2017.17161

Behl M, Razzaq M Y, Lendlein A. Adv Mater, 2010, 22(31): 3388-3410. doi:10.1002/adma.200904447http://dx.doi.org/10.1002/adma.200904447

Lendlein A, Kelch S. Angew Chem Int Ed, 2002, 41(12): 2034-2057. doi:10.1002/1521-3773(20020617)41:12<2034::aid-anie2034>3.0.co;2-mhttp://dx.doi.org/10.1002/1521-3773(20020617)41:12<2034::aid-anie2034>3.0.co;2-m

Kim W, Lim K, Kim W, Park E, Kim D. Prog Mater Sci, 2021, 118: 100756. doi:10.1016/j.pmatsci.2020.100756http://dx.doi.org/10.1016/j.pmatsci.2020.100756

Zaeem MA, Zhang N, Mamivand M, Comput Mater Sci, 2019, 160: 120-136. doi:10.1016/j.commatsci.2018.12.062http://dx.doi.org/10.1016/j.commatsci.2018.12.062

Huang Miaoming(黄淼铭), Dong Xia(董侠), Liu Weili(刘伟丽), Gao Xia(高霞), Wang Dujin(王笃金). Acta Polymerica Sinica(高分子学报), 2017, (4): 563-579. doi:10.11777/j.issn1000-3304.2017.16229http://dx.doi.org/10.11777/j.issn1000-3304.2017.16229

Xu J, Song J. Proc Natl Acad Sci USA, 2010, 107(17): 7652-7657. doi:10.1073/pnas.0912481107http://dx.doi.org/10.1073/pnas.0912481107

Bai Y, Zhang J, Chen X. ACS Appl Mater Interfaces, 2018, 10(16): 14017-14025. doi:10.1021/acsami.8b01425http://dx.doi.org/10.1021/acsami.8b01425

Li G, Yan Q, Xia H, Zhao Y. ACS Appl Mater Interfaces, 2015, 7(22): 12067-12073. doi:10.1021/acsami.5b02234http://dx.doi.org/10.1021/acsami.5b02234

Darabi M A, Khosrozadeh A, Wang Y, Ashammakhi N, Alem H, Erdem A, Chang Q, Xu K, Liu Y, Luo G, Khademhosseini A, Xing M. Adv Sci, 2020, 7(21): 1902740. doi:10.1002/advs.201902740http://dx.doi.org/10.1002/advs.201902740

Yang L, Wang Z, Fei G, Xia H. Macromol Rapid Commun, 2017, 38(23): 1700421. doi:10.1002/marc.201700421http://dx.doi.org/10.1002/marc.201700421

Yu K, Li H, McClung A J, Tandon G P, Baur J W, Qi H J. Soft Matter, 2016, 12(13): 3234-3245. doi:10.1039/c5sm02781khttp://dx.doi.org/10.1039/c5sm02781k

Fan X, Tan B H, Li Z, Loh X J. ACS Sustain Chem Eng, 2017, 5(11): 1217-1227

Yu K, Xie T, Leng J S, Ding Y F, Qi H J. Soft Matter, 2012, 8(20): 5687-5695. doi:10.1039/c2sm25292ahttp://dx.doi.org/10.1039/c2sm25292a

Müller W W, Pretsch T. Eur Polym J, 2010, 46(8): 1745-1758. doi:10.1016/j.eurpolymj.2010.05.004http://dx.doi.org/10.1016/j.eurpolymj.2010.05.004

Xiang Z, Zhang L, Yuan T, Li Y, Sun J. ACS Appl Mater Interfaces, 2018, 10(3): 2897-2906. doi:10.1021/acsami.7b14588http://dx.doi.org/10.1021/acsami.7b14588

Rodriguez E D, Luo X, Mather P T. ACS Appl Mater Interfaces, 2011, 3(2): 152-161. doi:10.1021/am101012chttp://dx.doi.org/10.1021/am101012c

Wang X, Li Y, Qian Y, Qi H, Li J, Sun J. Adv Mater, 2018, 30(36): 1803854. doi:10.1002/adma.201803854http://dx.doi.org/10.1002/adma.201803854

Wang X, Zhan S, Lu Z, Li J, Yang X, Qiao Y, Men Y, Sun J. Adv Mater, 2020, 32(50): 2005759. doi:10.1002/adma.202005759http://dx.doi.org/10.1002/adma.202005759

Heo Y, Sodano H A. Adv Funct Mater, 2014, 24(33): 5261-5268. doi:10.1002/adfm.201400299http://dx.doi.org/10.1002/adfm.201400299

Luo X F, Mather P T. ACS Macro Lett, 2013, 2(2): 152-156. doi:10.1021/mz400017xhttp://dx.doi.org/10.1021/mz400017x

Li Y, Chen S, Li X, Wu M, Sun J. ACS Nano, 2015, 9(10): 10055-10065. doi:10.1021/acsnano.5b03629http://dx.doi.org/10.1021/acsnano.5b03629

Williams G A, Ishige R, Cromwell O R, Chung J, Takahara A, Guan Z. Adv Mater, 2015, 27(26): 3934-3941. doi:10.1002/adma.201500927http://dx.doi.org/10.1002/adma.201500927

Zhu B, Jasinski N, Benitez A, Noack M, Park D, Goldmann A S, Barner-Kowollik C, Walther A. Angew Chem Int Ed, 2015, 54(30): 8653-8657. doi:10.1002/anie.201502323http://dx.doi.org/10.1002/anie.201502323

Zhan S, Wang X, Sun J. Macromol Rapid Commun, 2020, 41(24): 2000097. doi:10.1002/marc.202000097http://dx.doi.org/10.1002/marc.202000097

Miyamae K, Nakahata M, Takashima Y, Harada A. Angew Chem Int Ed, 2015, 54(31): 8984-8987. doi:10.1002/anie.201502957http://dx.doi.org/10.1002/anie.201502957

Habault D, Zhang H, Zhao Y. Chem Soc Rev, 2013, 42(17): 7244-7256. doi:10.1039/c3cs35489jhttp://dx.doi.org/10.1039/c3cs35489j

Huang W M, Ding Z, Wang C C , Wei J, Zhao Y, Purnawali H. Mater Today, 2010, 13(7-8): 54-61. doi:10.1016/s1369-7021(10)70128-0http://dx.doi.org/10.1016/s1369-7021(10)70128-0

Chen Y, Kushner A M, Williams G A, Guan Z. Nat Chem, 2012, 4(6): 467-472. doi:10.1038/nchem.1314http://dx.doi.org/10.1038/nchem.1314

Yanagisawa Y, Nan Y, Okuro K, Aida T. Science, 2018, 359(6371): 72-76. doi:10.1126/science.aam7588http://dx.doi.org/10.1126/science.aam7588

Agarwal P, Chopra M, Archer L A. Angew Chem Int Ed, 2011, 50(37): 8670-8673. doi:10.1002/anie.201103908http://dx.doi.org/10.1002/anie.201103908

Li J, Viveros J A, Wrue M H, Anthamatten M. Adv Mater, 2007, 19(19): 2851-2855. doi:10.1002/adma.200602260http://dx.doi.org/10.1002/adma.200602260

Zhang R, Guo X, Liu Y, Leng J. Compos Struct, 2014, 112(5): 226-230

Tang Z, Huang J, Guo B, Zhang L, Liu F. Macromolecules, 2016, 49(5): 1781-1789. doi:10.1021/acs.macromol.5b02756http://dx.doi.org/10.1021/acs.macromol.5b02756

Li B, Lu X, Ma Y, Chen Z. Eur Polym J, 2014, 60: 255-26. doi:10.1016/j.eurpolymj.2014.09.017http://dx.doi.org/10.1016/j.eurpolymj.2014.09.017

Ikkala O, Ruokolainen J, ten Brinke G, Torkkeli M, Serimaa R. Macromolecules, 1995, 28(21): 7088-7094. doi:10.1021/ma00125a009http://dx.doi.org/10.1021/ma00125a009

Xiao X, Qiu X, Kong D, Zhang W, Liu Y, Leng J. Soft Matter, 2016, 12(11): 2894-2900. doi:10.1039/c5sm02703ahttp://dx.doi.org/10.1039/c5sm02703a

更多指标>

浏览量

265

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

锂内盐两性离子聚合物电解质的制备与电化学性能研究

基于静电纺丝的类海绵体材料用于溶菌酶的吸附行为

本征型自修复聚硅氧烷材料：从单重动态交联网络到多重动态交联网络

基于两性离子的自修复准固态聚合物电解质