Abstract
In this paper, the effects of carbon nanofiber (CNF) additives with random and oriented distribution, in different weight fractions (0.1%, 0.5%, 1% and 2%) on thermo-mechanical properties and residual stresses of polymeric nanocomposites is investigated numerically. For distribution of CNFs in the models, a Python script was used to develop models in conjunction with ABAQUS finite element analysis (FEA) software. Young's modulus and coefficient of thermal expansion (CTE) were acquired for random distribution and aligned CNFs, and they were compared with experimental and analytical results, which were well correlated. Residual stresses were compared for carbon fiber (CF)/CNF/epoxy and glass fiber (GF)/CNF/epoxy nanocomposites for different lay-ups using classical lamination theory (CLT) for three cases of random, longitudinal and transverse aligned distribution of CNFs. Using 2 wt.% of CNFs in unsymmetrical nanocomposites, transverse aligned CNFs caused 15% (using carbon fiber) and 29% (using glass fiber) further reduction of the residual stresses in comparison with random distribution of CNFs. For symmetric CF/CNF/epoxy nanocomposites, transverse aligned CNFs have no advantage in reducing the residual stresses compared to a random distribution, but in GF/CNF/epoxy nanocomposites, the reduction of residual stresses contain 2 wt.% transverse aligned CNFs is 17% higher than their random distribution.
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