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Functionalized carbon nanotubes based thermo-responsive shape memory blends with enhanced mechanical properties for potential robotics applications
Iranian Polymer Journal ( IF 3.1 ) Pub Date : 2020-10-13 , DOI: 10.1007/s13726-020-00874-w
Naveed Ahmed , Basit Niaz , Saad Nauman , Muhammad Tariq Javid

A two-step approach was used to synthesize a thermo-responsive polyurethane and its blends with amino-functionalized-polystyrene (PS) and multiwall carbon nanotubes (MWCNTs) aiming at enhanced mechanical, thermal and shape memory properties. The synthesis of novel shape-memory polyurethane was confirmed by FTIR spectroscopy. SEM analysis of samples revealed excellent interfacial interaction due to chemical and physical interlinking between both polymers (PU synthesized and polystyrene functionalized) and functionalized multiwall carbon nanotubes (FMWCNTs) filler. The significant improvement in mechanical and thermal properties was observed for synthesized blends (PU/modified PS) as the filler content increased. The mechanical properties of PU/modified-PS blend having 3% loading amount of FMWCNTs were enhanced from 28.6 to 59.3 MPa as compared to those of neat PU. Due to proper fabrication and strong interfacial interaction, enhancement in thermal properties was also evident from the results with increasing filler loading amount. A sharp decrease in thermal, mechanical and recovery properties was also evident due to agglomerates net-points formation when loading amount of carbon filler increased from a certain level. Almost 100% shape recoveries were achieved for all samples, but the recovery durations of the samples were different. Modified-PS and FMWCNTs with PU formed three-dimensional interlocked networks which provided excellent mechanical strength, thermal stabilities and efficient shape recovery to the synthesized blends. Shape recovery response time of blends and nanocomposite was also found to decrease almost half of that of the pristine PU (less than 37 s for blends). Enhanced thermal stabilities, tensile properties, smaller shape recovery time, almost 100% shape recovery capabilities and sustainability, all factors favor the potential use of these blended composite materials in robotics, aeronautics, medical devices and high-performance materials in auto-industry.



中文翻译:

基于功能化碳纳米管的热响应形状记忆共混物,具有增强的机械性能,可用于潜在的机器人应用

采用两步法合成热响应性聚氨酯及其与氨基官能化聚苯乙烯(PS)和多壁碳纳米管(MWCNT)的共混物,旨在增强机械,热和形状记忆性能。FTIR光谱证实了新型形状记忆聚氨酯的合成。样品的SEM分析显示,由于聚合物(合成的PU和聚苯乙烯官能化的)和官能化的多壁碳纳米管(FMWCNT)填料之间的化学和物理相互连接,界面相互作用非常出色。随着填料含量的增加,观察到合成共混物(PU /改性PS)的机械和热性能的显着改善。具有3%的FMWCNT负载量的PU /改性PS共混物的机械性能从28.6提高到59。与纯PU相比,为3 MPa。由于适当的制造和强烈的界面相互作用,从填料添加量增加的结果还可以明显看出热性能的提高。当碳填料的负载量从一定水平增加时,由于形成附聚物的净点,热,机械和恢复性能也急剧下降。所有样品的形状恢复率几乎都达到了100%,但是样品的恢复时间却不同。带有PU的改性PS和FMWCNT形成了三维互锁网络,为合成的共混物提供了出色的机械强度,热稳定性和有效的形状恢复性。还发现共混物和纳米复合材料的形状恢复响应时间减少了原始PU的几乎一半(共混物少于37 s)。增强的热稳定性,拉伸性能,更短的形状恢复时间,几乎100%的形状恢复能力和可持续性,所有因素都有利于这些混合复合材料在机器人技术,航空,医疗设备和汽车工业中的高性能材料中的潜在应用。

更新日期:2020-10-13
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