TY - GEN
T1 - Effect of CNT waviness on the elastic modulus of carbon nanotube reinforced polymer composites
AU - Chahal, Rajni
AU - Adnan, Ashfaq
AU - Roy, Ajit
N1 - Publisher Copyright:
© 2019 by DEStech Publications, Inc. and American Society for Composites. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Carbon nanotubes (CNTs) are the filler materials of nanoscale dimensions, which when added to the polymer matrix, form a strong yet light-weight multifunctional composite materials. Before using them effectively and confidently in the aerospace industry, it is important to completely determine their mechanical properties. Previous studies found these properties to be significantly influenced by the waviness of CNTs embedded in the epoxy matrix. In this study, we have developed a unique Python algorithm that is employed to construct the stochastic three-dimensional finite element models, which incorporates the CNT waviness as a variable. Random normal and uniform random distributions are assumed for waviness and orientation angles of the dispersed CNTs, respectively. Four separate finite element models with maximum CNT waviness angles of 00, 250, & 500 are generated for CNT volume fraction of 0.5%. Thereafter, the elastic constants are evaluated and compared for each case. A significant decrease in the properties is observed as the maximum allowable waviness angle of the embedded CNTs in the epoxy is increased. These results suggest that CNT waviness plays a key role in deciding the elastic properties of the CNT based composites.
AB - Carbon nanotubes (CNTs) are the filler materials of nanoscale dimensions, which when added to the polymer matrix, form a strong yet light-weight multifunctional composite materials. Before using them effectively and confidently in the aerospace industry, it is important to completely determine their mechanical properties. Previous studies found these properties to be significantly influenced by the waviness of CNTs embedded in the epoxy matrix. In this study, we have developed a unique Python algorithm that is employed to construct the stochastic three-dimensional finite element models, which incorporates the CNT waviness as a variable. Random normal and uniform random distributions are assumed for waviness and orientation angles of the dispersed CNTs, respectively. Four separate finite element models with maximum CNT waviness angles of 00, 250, & 500 are generated for CNT volume fraction of 0.5%. Thereafter, the elastic constants are evaluated and compared for each case. A significant decrease in the properties is observed as the maximum allowable waviness angle of the embedded CNTs in the epoxy is increased. These results suggest that CNT waviness plays a key role in deciding the elastic properties of the CNT based composites.
UR - http://www.scopus.com/inward/record.url?scp=85088764018&partnerID=8YFLogxK
U2 - 10.12783/asc34/31410
DO - 10.12783/asc34/31410
M3 - Conference contribution
AN - SCOPUS:85088764018
T3 - Proceedings of the American Society for Composites - 34th Technical Conference, ASC 2019
BT - Proceedings of the American Society for Composites - 34th Technical Conference, ASC 2019
A2 - Kalaitzidou, Kyriaki
PB - DEStech Publications
T2 - 34th Technical Conference of the American Society for Composites, ASC 2019
Y2 - 23 September 2019 through 25 September 2019
ER -