Anionic Surfactant with Hydrophobic and Hydrophilic Chains for Nanoparticle Dispersion and Shape Memory Polymer Nanocomposites

2009 ◽  
Vol 131 (45) ◽  
pp. 16342-16343 ◽  
Author(s):  
Motoyuki Iijima ◽  
Murino Kobayakawa ◽  
Miwa Yamazaki ◽  
Yasuhiro Ohta ◽  
Hidehiro Kamiya
Keyword(s):  
Shape Memory ◽  
Polymer Nanocomposites ◽  
Anionic Surfactant ◽  
Shape Memory Polymer ◽  
Nanoparticle Dispersion

Thermomechanics of shape memory polymer nanocomposites

2004 ◽  
Vol 36 (10) ◽  
pp. 929-940 ◽  
Author(s):  
Yiping Liu ◽  
Ken Gall ◽  
Martin L Dunn ◽  
Patrick McCluskey
Keyword(s):  
Shape Memory ◽  
Polymer Nanocomposites ◽  
Shape Memory Polymer

scholarly journals Electrical actuation and shape recovery control of shape-memory polymer nanocomposites

2013 ◽  
Vol 4 (3) ◽  
pp. 167-178 ◽  
Author(s):  
Fei Liang ◽  
Robert Sivilli ◽  
Jihua Gou ◽  
Yunjun Xu ◽  
Bob Mabbott
Keyword(s):  
Shape Memory ◽  
Polymer Nanocomposites ◽  
Shape Recovery ◽  
Shape Memory Polymer ◽  
Electrical Actuation

Interphase influences on the mechanical behavior of carbon nanotube–shape memory polymer nanocomposites: A micromechanical approach

2018 ◽  
Vol 30 (3) ◽  
pp. 463-478 ◽  
Author(s):  
MK Hassanzadeh-Aghdam ◽  
MJ Mahmoodi ◽  
R Ansari ◽  
A Darvizeh
Keyword(s):  
Carbon Nanotubes ◽  
Carbon Nanotube ◽  
Shape Memory ◽  
Polymer Nanocomposites ◽  
Elastic Moduli ◽  
Volume Fraction ◽  
Shape Memory Polymer ◽  
Micromechanical Model ◽  
Elastic Behavior ◽  
Interphase Region

The effects of interphase characteristics on the elastic behavior of randomly dispersed carbon nanotube–reinforced shape memory polymer nanocomposites are investigated using a three-dimensional unit cell–based micromechanical method. The interphase region is formed due to non-bonded van der Waals interaction between a carbon nanotube and a shape memory polymer. The influences of temperature, diameter, volume fraction, and arrangement type of carbon nanotubes within the matrix as well as two interphase factors, including adhesion exponent and thickness on the carbon nanotube/shape memory polymer nanocomposite’s longitudinal and transverse elastic moduli, are explored extensively. Moreover, the results are presented for the shape memory polymer nanocomposites containing randomly oriented carbon nanotubes. The obtained results clearly demonstrate that the interphase region plays a crucial role in the modeling of the carbon nanotube/shape memory polymer nanocomposite’s elastic moduli. It is observed that the nanocomposite’s elastic moduli remarkably increase with increasing interphase thickness or decreasing adhesion exponent. It is found that when the interphase is considered in the micromechanical simulation, the shape memory polymer nanocomposite’s elastic moduli non-linearly increase as the carbon nanotube diameter decreases. The predictions of the present micromechanical model are compared with those of other analytical methods and available experiments.

scholarly journals Thermal modeling and coefficient identification of shape memory polymer nanocomposites structure

2015 ◽  
Vol 106 (8) ◽  
pp. 081907 ◽  
Author(s):  
He Shen ◽  
August Mark ◽  
Kenneth Thompson ◽  
Yunjun Xu ◽  
Fei Liang ◽  
...  
Keyword(s):  
Shape Memory ◽  
Polymer Nanocomposites ◽  
Thermal Modeling ◽  
Shape Memory Polymer ◽  
Coefficient Identification

Near-infrared activation of semi-crystalline shape memory polymer nanocomposites

2013 ◽  
pp. n/a-n/a ◽  
Author(s):  
Duy M. Le ◽  
Michael A. Tycon ◽  
Christopher J. Fecko ◽  
Valerie S. Ashby
Keyword(s):  
Shape Memory ◽  
Polymer Nanocomposites ◽  
Near Infrared ◽  
Shape Memory Polymer

Stimulus methods of multi-functional shape memory polymer nanocomposites: A review

2017 ◽  
Vol 100 ◽  
pp. 20-30 ◽  
Author(s):  
Tianzhen Liu ◽  
Tianyang Zhou ◽  
Yongtao Yao ◽  
Fenghua Zhang ◽  
Liwu Liu ◽  
...  
Keyword(s):  
Shape Memory ◽  
Polymer Nanocomposites ◽  
Shape Memory Polymer

scholarly journals Nanoscale Design of Nano-Sized Particles in Shape-Memory Polymer Nanocomposites Driven by Electricity

Materials ◽  
2013 ◽  
Vol 6 (9) ◽  
pp. 3742-3754 ◽  
Author(s):  
Haibao Lu ◽  
Wei Huang ◽  
Fei Liang ◽  
Kai Yu
Keyword(s):  
Shape Memory ◽  
Polymer Nanocomposites ◽  
Shape Memory Polymer

Modeling of Heat Transfer in Shape Memory Polymer Nanocomposites

2012 ◽  
Author(s):  
John Carrell ◽  
Hong-Chao Zhang ◽  
Kevin Long ◽  
Senay Imam
Keyword(s):  
Heat Transfer ◽  
Shape Memory ◽  
Polymer Nanocomposites ◽  
Deformation Process ◽  
Thermal Field ◽  
Shape Memory Polymer ◽  
Equation Model ◽  
Heat Transfer Characteristics ◽  
Thermal Change ◽  
Mechanical Methods

Diaplex MS5520, SMP Technologies, Inc. transition temperature 55°C, was filled with varying proportions (5 wt.%, 15.00 wt.%, and 25 wt.%) of magnetite nanoparticles, NanoArc and Iron(III) Oxide; 20–40 nm APS Powder from Alfa Aesar. The SMP nanocomposite was tested by thermomechanical methods, derived thermo-magnetic-mechanical methods, and shape memory methods. The results of such methods show an ability of the SMP nanocomposite to be controlled in shape deformation and recovery with an applied thermal then applied magnetic field. This paper focuses on the thermal field needed to help trigger the SMP nanocomposite. The objective of the study is to investigate the heat transfer characteristics of a SMP filled with magnetite nanoparitcles. A transient heat equation model is developed, and numerical simulation is performed in Sundance to show the underlying state of thermal change in recovery and deformation process. Result of the simulations roughly match those observed in the experiment.

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