ZnO Nanorod−Thermoplastic Polyurethane Nanocomposites: Morphology and Shape Memory Performance

2009 ◽  
Vol 42 (22) ◽  
pp. 8933-8942 ◽  
Author(s):  
Hilmar Koerner ◽  
John Kelley ◽  
Justin George ◽  
Lawrence Drummy ◽  
Peter Mirau ◽  
...  
Keyword(s):  
Shape Memory ◽  
Memory Performance ◽  
Thermoplastic Polyurethane ◽  
Zno Nanorod ◽  
Polyurethane Nanocomposites

scholarly journals Mechanical, Thermal, and Shape Memory Properties of Three-Dimensional Printing Biomass Composites

Polymers ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1234 ◽  
Author(s):  
Hongjie Bi ◽  
Min Xu ◽  
Gaoyuan Ye ◽  
Rui Guo ◽  
Liping Cai ◽  
...  
Keyword(s):  
Shape Memory ◽  
Wood Flour ◽  
Memory Performance ◽  
Thermoplastic Polyurethane ◽  
Tensile Elongation ◽  
Three Dimensional ◽  
Mechanical Analysis ◽  
Shape Memory Properties ◽  
Shape Memory Composites ◽  
Recovery Angle

In this study, a series of heat-induced shape memory composites was prepared by the hot-melt extrusion and three-dimensional (3D) printing of thermoplastic polyurethane (TPU) using wood flour (WF) with different contents of EPDM-g-MAH. The mechanical properties, microtopography, thermal property analysis, and heat-induced shape memory properties of the composites were examined. The results showed that, when the EPDM-g-MAH content was 4%, the tensile elongation and tensile strength of the composites reached the maximum value. The scanning electron microscopy and dynamic mechanical analysis results revealed a good interface bonding between TPU and WF when the EPDM-g-MAH content was 4%. The thermogravimetric analysis indicated that the thermal stability of TPU/WF composites was enhanced by the addition of 4% EPDM-g-MAH. Heat-induced shape memory test results showed that the shape memory performance of composites with 4% EPDM-g-MAH was better than that of unmodified-composites. The composites’ shape recovery performance at a temperature of 60 °C was higher than that of the composites at ambient temperature. It was also found that, when the filling angle of the specimen was 45°, the recovery angle of the composites was larger.

Microstructural design for enhanced mechanical and shape memory performance of polyurethane nanocomposites: Role of hybrid nanofillers of montmorillonite and halloysite nanotube

2020 ◽  
Vol 198 ◽  
pp. 105816 ◽  
Author(s):  
Arian Amirkiai ◽  
Mahyar Panahi-Sarmad ◽  
Gity Mir Mohamad Sadeghi ◽  
Mohammad Arjmand ◽  
Mahbod Abrisham ◽  
...  
Keyword(s):  
Shape Memory ◽  
Memory Performance ◽  
Halloysite Nanotube ◽  
Microstructural Design ◽  
Polyurethane Nanocomposites

Polyurethane/Clay Shape Memory Nanocomposites Based on Palm Oil Polyol

2012 ◽  
Vol 576 ◽  
pp. 236-239 ◽  
Author(s):  
Syazana Ahmad Zubir ◽  
Ernie Suzana Ali ◽  
Sahrim Haji Ahmad ◽  
Norazwani Muhammad Zain ◽  
Soo Kai Wai
Keyword(s):  
Shape Memory ◽  
Palm Oil ◽  
Soft Segment ◽  
Thermoplastic Polyurethane ◽  
Clay Content ◽  
Weight Percent ◽  
Shape Memory Behavior ◽  
Crosslinking Process ◽  
The Matrix ◽  
Polyurethane Nanocomposites

Thermoplastic polyurethane (TPU) nanocomposites were prepared using polycaprolactonediol as the soft segment, 4,4’-diphenylmethane diisocyanate as the hard segment, 1,4-butanediol and palm oil polyol. Nanoclay with certain weight percent (wt%) was reinforced as filler to improve both mechanical and shape memory behavior of the nanocomposites. Palm oil polyol was introduced in order to provide hyperbranched structure for better dispersion of filler in the matrix as well as aiding the crosslinking process. The experimental results showed that the mechanical and shape memory behavior of clay reinforced polyurethane nanocomposites were influenced by clay weight percent in the polymer matrix. TPU with 3 wt% clay showed optimum values of mechanical properties while the shape memory behavior decreases with increasing clay content.

Palm Oil Polyol/ Polyurethane Shape Memory Nanocomposites

2013 ◽  
Vol 291-294 ◽  
pp. 2666-2669 ◽  
Author(s):  
Syazana Ahmad Zubir ◽  
Ahmad Sahrim ◽  
Ernie Suzana Ali
Keyword(s):  
Shape Memory ◽  
Palm Oil ◽  
Thermoplastic Polyurethane ◽  
Polymerization Process ◽  
Diphenylmethane Diisocyanate ◽  
X Ray Diffraction ◽  
X Ray ◽  
Good Shape ◽  
Crosslinking Process ◽  
Polyurethane Nanocomposites

A series of nanoclay reinforced thermoplastic polyurethane with shape memory effect have been successfully synthesized via two-step polymerization process. The polyurethanes are composed of polycaprolactonediol, palm oil polyol, 4,4’-diphenylmethane diisocyanate and 1,4-butanediol. Nanoclay was added in order to improve the overall properties of the pristine polyurethane. Besides, the addition of palm oil polyol is believed to enhance the crosslinking process and further improve the properties. X-ray diffraction result showed that there is a decrease in crystallinity of polyurethane nanocomposites as clay is added. Good shape memory and mechanical properties of resulting polyurethane nanocomposites were obtained in this work.

Effect of Carbon Nanotubes on the Shape Memory Performance of Poly(vinylidene fluoride)/Acrylic Blends

2013 ◽  
Vol 30 (2) ◽  
pp. 134
Author(s):  
Hui FU ◽  
Jishan QIU ◽  
Ning CHONG ◽  
Yaqing WANG ◽  
Yuanyuan TIAN ◽  
...  
Keyword(s):  
Carbon Nanotubes ◽  
Shape Memory ◽  
Vinylidene Fluoride ◽  
Memory Performance ◽  
Poly Vinylidene Fluoride

Physical property of 3D-printed sinusoidal pattern using shape memory TPU filament

2020 ◽  
Vol 90 (21-22) ◽  
pp. 2399-2410 ◽  
Author(s):  
Shahbaj Kabir ◽  
Hyelim Kim ◽  
Sunhee Lee
Keyword(s):  
Mechanical Properties ◽  
Tensile Test ◽  
Shape Memory ◽  
Fused Deposition Modeling ◽  
Loss Modulus ◽  
Thermoplastic Polyurethane ◽  
Heating Process ◽  
Fused Deposition ◽  
3D Printed ◽  
Sinusoidal Pattern

This study has investigated the physical properties of 3D-printable shape memory thermoplastic polyurethane (SMTPU) filament and its 3D-printed sinusoidal pattern obtained by fused deposition modeling (FDM) technology. To investigate 3D filaments, thermoplastic polyurethane (TPU) and SMTPU filament were examined by conducting infrared spectroscopy, x-ray diffraction (XRD), dynamic mechanical thermal analysis (DMTA), differential scanning calorimetry (DSC) and a tensile test. Then, to examine the 3D-printed sinusoidal samples, a sinusoidal pattern was developed and 3D-printed. Those samples went through a three-step heating process: (a) untreated state; (b) 5 min heating at 70°C, cooling for 30 min at room temperature; and (c) a repeat of step 2. The results obtained by the three different heating processes of the 3D-printed sinusoidal samples were examined by XRD, DMTA, DSC and the tensile test to obtain the effect of heating or annealing on the structural and mechanical properties. The results show significant changes in structure, crystallinity and thermal and mechanical properties of SMTPU 3D-printed samples due to the heating steps. XRD showed the increase in crystallinity with heating. In DMTA, storage modulus, loss modulus and the tan σ peak position also changed for various heating steps. The DSC result showed that the Tg for different steps of the SMTPU 3D-printed sample remained almost the same at around 51°C. The tensile property of the TPU 3D-printed sinusoidal sample decreased in terms of both load and elongation with increased heating processes, while for the SMTPU 3D-printed sinusoidal sample, the load decreased but elongation increased about 2.5 times.

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