Effects of Carbon Nanotube Infiltration on a Shape Memory Polymer‐Based Device for Brain Aneurysm Therapeutics: Design and Characterization of a Joule‐Heating Triggering Mechanism

2021 ◽  
pp. 2100322
Author(s):  
Sergio A. Pineda-Castillo ◽  
Jishan Luo ◽  
Hyowon Lee ◽  
Bradley N. Bohnstedt ◽  
Yingtao Liu ◽  
...  

2021 ◽  
Vol 23 (6) ◽  
pp. 2170022
Author(s):  
Sergio A. Pineda-Castillo ◽  
Jishan Luo ◽  
Hyowon Lee ◽  
Bradley N. Bohnstedt ◽  
Yingtao Liu ◽  
...  


2014 ◽  
Vol 8 (2) ◽  
Author(s):  
Landon D. Nash ◽  
Mark A. Wierzbicki ◽  
Duncan J. Maitland




2018 ◽  
Vol 30 (3) ◽  
pp. 463-478 ◽  
Author(s):  
MK Hassanzadeh-Aghdam ◽  
MJ Mahmoodi ◽  
R Ansari ◽  
A Darvizeh

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.



Langmuir ◽  
2014 ◽  
Vol 30 (10) ◽  
pp. 2820-2827 ◽  
Author(s):  
Christian Wischke ◽  
Andreas Lendlein


2009 ◽  
Vol 63 (3-4) ◽  
pp. 347-349 ◽  
Author(s):  
Yuanliang Wang ◽  
Yonggang Li ◽  
Yanfeng Luo ◽  
Meina Huang ◽  
Zhiqing Liang


2012 ◽  
Vol 41 ◽  
pp. 1641-1646 ◽  
Author(s):  
Shahrul Azam Abdullah ◽  
Aidah Jumahat ◽  
Nik Rosli Abdullah ◽  
Lars Frormann


2011 ◽  
Vol 71 (11) ◽  
pp. 1427-1434 ◽  
Author(s):  
Haibao Lu ◽  
Yanju Liu ◽  
Jihua (Jan) Gou ◽  
Jinsong Leng ◽  
Shanyi Du


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