Poly(ε-caprolactone) Polyurethane and Its Shape-Memory Property†

2005 ◽  
Vol 6 (2) ◽  
pp. 587-592 ◽  
Author(s):  
Peng Ping ◽  
Wenshou Wang ◽  
Xuesi Chen ◽  
Xiabin Jing
2017 ◽  
Vol 38 (23) ◽  
pp. 1700450 ◽  
Author(s):  
Wenkai Liu ◽  
Yun Zhao ◽  
Rong Wang ◽  
Jiehua Li ◽  
Jianshu Li ◽  
...  

2018 ◽  
Vol 51 (7-8) ◽  
pp. 626-643
Author(s):  
Chengliang Li ◽  
Xingxing Ji ◽  
Yang Lyu ◽  
Xinyan Shi

In this work, a damping material was successfully prepared by blending acrylic rubber (ACM) and polylactide (PLA) with sulfur and soap salt as the curing agents. A phenol-formaldehyde (PF) resin was used as a modifier. The effects of PF on the mechanical properties, damping properties, compatibility and shape memory properties of the blends were studied. The compatibility and damping properties were characterized by dynamic mechanical analysis, Fourier transform infrared spectroscope and microstructure analysis. The shape memory properties were examined by thermal mechanical analyser. The results revealed that the tensile strength of the blends was decreased and the toughness was increased with the increase of PF loadings. The introduction of PF improved the compatibility between PLA and ACM, which was deduced from the fact that the glass transition temperature of ACM was increased and the two loss factor peaks became closer. It was also found that the loss factor peak became higher and the effective damping temperature range became wider due to the formation of hydrogen bonding, implying that the damping properties of ACM/PLA blends were significantly improved. The ACM/PLA blends exhibited good dual-shape memory effect and its shape recovery ratio was increased by introduction of PF and raising the trigger temperature. The blends also exhibited good triple-shape memory property, which was dramatically improved by the introduction of PF. The mechanisms for the enhanced shape memory effects were then analysed.


2018 ◽  
Vol 56 (19) ◽  
pp. 1281-1286 ◽  
Author(s):  
Yan Jie Wang ◽  
Chen Yu Li ◽  
Zhi Jian Wang ◽  
Yiping Zhao ◽  
Li Chen ◽  
...  

2018 ◽  
Vol 192 ◽  
pp. 507-515 ◽  
Author(s):  
Yongtao Yao ◽  
Yun Luo ◽  
Haibao Lu ◽  
Bing Wang

2007 ◽  
Vol 8 (9) ◽  
pp. 2774-2780 ◽  
Author(s):  
Mei-Chin Chen ◽  
Hung-Wen Tsai ◽  
Yen Chang ◽  
Wei-Yun Lai ◽  
Fwu-Long Mi ◽  
...  

2011 ◽  
Vol 335-336 ◽  
pp. 851-855 ◽  
Author(s):  
Chun Miao Han ◽  
Yu Yan Liu ◽  
Hui Feng Tan

A series of hyperbranched polyester (HBPE) modified shape memory epoxies (SMEPs) were prepared for the first time. The materials’ toughness, mechanical properties and heat resistance were investigated by impact test, tensile test and DSC analysis. Besides, the possible effect of hyperbranched structure on SMEP’s shape memory property was studied by fold-deploy shape memory test. The results showed 5wt. % HBPE modified SMEP had the optimum properties. Its impact strength, tensile strength and elongation at break were increased by 51.8, 11.4 and 25.4%, respectively, without negative effect on SMEP’s heat resistance and shape memory property. All the samples had high shape retention ratio and 100% shape recovery ratio.


2006 ◽  
Vol 438-440 ◽  
pp. 857-861 ◽  
Author(s):  
X.L. Lu ◽  
W. Cai ◽  
Z.Y. Gao ◽  
L.C. Zhao

Polymers ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1600 ◽  
Author(s):  
Shahbaj Kabir ◽  
Sunhee Lee

This study evaluated the shape memory and tensile property of 3D-printed sinusoidal sample/nylon composite for various thickness and cycles. Sinusoidal pattern of five thicknesses: 0.2 mm, 0.4 mm, 0.6 mm, 0.8 mm, and 1.0 mm were 3D-printed on nylon fabric by the fused deposition modeling (FDM) 3D printer using shape memory thermoplastic polyurethane (SMTPU). Afterward, shape memory and tensile property was investigated up to 50 shape memory cycles. The study found that 3D-printed sinusoidal sample/nylon composite had a 100% shape recovery ratio for various thicknesses up to 50 cycles. The average shape recovery rate gradually decreased from 3.0°/s to 0.7°/s whereas the response time gradually increased with the increase of a 3D-printed pattern thickness. The stress and initial modulus gradually increased with the increase of the cycle’s number. Thus, the shape memory property had a similar tendency for various cycles whereas the tensile property gradually increased with the increase of the cycle number. Moreover, this study demonstrated that this 3D-printed sinusoidal sample/nylon composite can go through more than 50 cycles without losing its tensile or shape memory property. This 3D-printed sinusoidal sample/nylon composite has vast potential as smart, reinforced, and protective clothing that requires complex three-dimensional shapes.


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