Statistical Analysis of Effective Piezoresistivity of Carbon Nanotube Reinforced Polymer Nanocomposites from Electron Tunneling Effects

2020 ◽  
Author(s):  
Krishna Kiran Talamadupula ◽  
Gary D. Seidel
2018 ◽  
Vol 40 (S2) ◽  
pp. E1219-E1234 ◽  
Author(s):  
Jafar Amraei ◽  
Jafar E. Jam ◽  
Behrouz Arab ◽  
Roohollah D. Firouz‐Abadi

Author(s):  
S. Xu ◽  
O. Rezvanian ◽  
M. A. Zikry

A new finite element (FE) modeling method has been developed to investigate how the electrical-mechanical-thermal behavior of carbon nanotube (CNT)–reinforced polymer composites is affected by electron tunneling distances, volume fraction, and physically realistic tube aspect ratios. A representative CNT polymer composite conductive path was chosen from a percolation analysis to establish the three-dimensional (3D) computational finite-element (FE) approach. A specialized Maxwell FE formulation with a Fermi-based tunneling resistance was then used to obtain current density evolution for different CNT/polymer dispersions and tunneling distances. Analyses based on thermoelectrical and electrothermomechanical FE approaches were used to understand how CNT-epoxy composites behave under electrothermomechanical loading conditions.


2018 ◽  
Vol 25 (5) ◽  
pp. 847-853
Author(s):  
Belkacem Kada ◽  
Abdullah Algarni ◽  
Mostefa Bourchak ◽  
Mahmoud N. Nahas

AbstractThe paper presents a numerical procedure to evaluate the mechanical properties and predict the damage initiation of random multiwalled carbon nanotube-reinforced polymer nanocomposites (MWCNT-RPNC). The Hashin-Shtrikman (H-S) random prediction model is used to compute the properties of the reinforced polymer matrix, whereas the Chamis model is used to compute the lamina properties and the Hashin progressive damage model within the ABAQUS environment is used as a finite element analysis (FEA) tool to predict the damage initiation in the reinforced composite material. Experimental testing is employed to validate the numerical results and to adjust the H-S prediction model for MWCNT-RPNC.


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