Estimation of carbon nanotubes and their applications as reinforcing composite materials–an engineering review
The demand for increasing the strength of the structural element without an increase in the
size of the elements leads to the introduction of reinforcements. Employing carbon …
size of the elements leads to the introduction of reinforcements. Employing carbon …
Overview of polymer nanocomposites: Computer simulation understanding of physical properties
Computer simulations are an important implementation to experimental methods working on
polymer nanocomposites (PNCs), which have advanced properties because of their unique …
polymer nanocomposites (PNCs), which have advanced properties because of their unique …
Understanding the effect of functionalization in CNT-epoxy nanocomposite from molecular level
The excellent physical, mechanical, thermal and electrical properties of carbon nanotubes
(CNTs) make them the promising reinforcements for polymer materials. The resulting …
(CNTs) make them the promising reinforcements for polymer materials. The resulting …
Prediction of tensile strength of polymer carbon nanotube composites using practical machine learning method
TT Le - Journal of Composite Materials, 2021 - journals.sagepub.com
This paper is devoted to the development and construction of a practical Machine Learning
(ML)-based model for the prediction of tensile strength of polymer carbon nanotube (CNTs) …
(ML)-based model for the prediction of tensile strength of polymer carbon nanotube (CNTs) …
Design rules for enhanced interfacial shear response in functionalized carbon fiber epoxy composites
Carbon-fiber reinforced composites are ideal light-weighting candidates to replace
traditional engineering materials. The mechanical performance of these composites results …
traditional engineering materials. The mechanical performance of these composites results …
Data-driven multiscale finite-element method using deep neural network combined with proper orthogonal decomposition
In this paper, a data-driven multiscale finite-element method (data-driven FE2) is proposed
using a deep neural network (DNN) and proper orthogonal decomposition (POD) to …
using a deep neural network (DNN) and proper orthogonal decomposition (POD) to …
Atomic-scale insights into interface thermal resistance between epoxy and boron nitride in nanocomposites
X Yang, X Wang, W Wang, Y Fu, Q **e - … Journal of Heat and Mass Transfer, 2020 - Elsevier
The out-plane thermal conductivity of hexagonal boron nitride nanosheet (hBNNS)/epoxy
resin (EP) composites in the perpendicular to the lamellar layers direction as well as the …
resin (EP) composites in the perpendicular to the lamellar layers direction as well as the …
Improving inherent thermal conductivity of epoxy resins based on contribution components of thermal conductivity: A molecular dynamics study
X Liu, Q Ai, J Xu, Y Shuai - European Polymer Journal, 2023 - Elsevier
The inherent thermal transport properties of epoxy resin are vital factors to be studied in
applications. In the present work, we constructed the amorphous crosslinking structure, the …
applications. In the present work, we constructed the amorphous crosslinking structure, the …
Maximizing the toughness of polymer nanocomposites based on the radial strength of carbon nanotubes
Similarity in the mechanical properties of a matrix and an inclusion is key to designing tough
nanocomposites. Matching the matrix and inclusions with similar mechanical strengths …
nanocomposites. Matching the matrix and inclusions with similar mechanical strengths …
Physical and mechanical properties of vulcanized and filled rubber at high strain rate
Z Yan, A Zaoui, F Zaïri - Chinese Journal of Physics, 2023 - Elsevier
The purpose of this study is to investigate-at nanoscale-cis-Polyisoprene (cis-PI), the main
component of natural rubber. This system is vulcanized by adding elemental sulfur to cis-PI …
component of natural rubber. This system is vulcanized by adding elemental sulfur to cis-PI …