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Modeling the molecular structure of the carbon fiber/polymer interphase for multiscale analysis of composites

TLDR
In this article, a high fidelity multiscale modeling framework integrating a novel molecular interphase model for the analysis of polymer matrix composites is presented, consisting of voids in multiple graphene layers, enabling the physical entanglement between the polymer matrix and the carbon fiber surface.
Abstract
The carbon fiber/polymer matrix interphase region plays an important role in the behavior and failure initiation of polymer matrix composites and accurate modeling techniques are needed to study the effects of this complex region on the composite response. This paper presents a high fidelity multiscale modeling framework integrating a novel molecular interphase model for the analysis of polymer matrix composites. The interphase model, consisting of voids in multiple graphene layers, enables the physical entanglement between the polymer matrix and the carbon fiber surface. The voids in the graphene layers are generated by intentionally removing carbon atoms, which better represents the irregularity of the carbon fiber surface. The molecular dynamics method calculates the interphase mechanical properties at the nanoscale, which are integrated within a high fidelity micromechanics theory. Additionally, progressive damage and failure theories are used at different scales in the modeling framework to capture scale-dependent failure of the composite. Comparisons between the current molecular interphase model and existing interphase models and experiments demonstrate that the current model captures larger stress gradients across the material interphase. These large stress gradients increase the viscoplasticity and damage effects at the interphase which are necessary for improved prediction of the nonlinear response and multiscale damage in composite materials.

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Lawrence Berkeley National Laboratory
Recent Work
Title
Modeling the molecular structure of the carbon fiber/polymer interphase for multiscale
analysis of composites
Permalink
https://escholarship.org/uc/item/7pz0m4w4
Authors
Johnston, JP
Koo, B
Subramanian, N
et al.
Publication Date
2017-02-15
DOI
10.1016/j.compositesb.2016.12.008
Copyright Information
This work is made available under the terms of a Creative Commons Attribution-
NonCommercial-ShareAlike License, availalbe at https://creativecommons.org/licenses/by-
nc-sa/4.0/
Peer reviewed
eScholarship.org Powered by the California Digital Library
University of California

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0!
768)9

''
+:;8<9%
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4!8=94
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?8@(9
'>%". >"/34
3+4%
'
30
3'1
?8A9>8BC9'7
%
4348D92
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.;#!/E3'
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G8)H9
'3
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24
' %8)<9
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2;#!
''.G7#/
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Citations
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Fast parallel algorithms for short-range molecular dynamics

TL;DR: Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems.
Journal ArticleDOI

Comparison of carbon nanotubes and graphene oxide coated carbon fiber for improving the interfacial properties of carbon fiber/epoxy composites

TL;DR: In this paper, carboxylic functionalized carbon nanotubes (CNTs) and graphene oxide (GO) were separately deposited on the carbon fiber surface to increase the interfacial properties of composites.
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A review on the mechanical and thermal properties of graphene and graphene-based polymer nanocomposites: understanding of modelling and MD simulation

TL;DR: In this article, the status of the molecular modality is discussed. But the authors focus on the simulation of molecular dynamics (MD), which allows mimicking the systematic variation of mechanical properties beyond the capacity of experimental methods.
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Multi-scale computational analysis of unidirectional carbon fiber reinforced polymer composites under various loading conditions

TL;DR: In this paper, a multi-scale computational analysis based on representative volume element (RVE) modeling and molecular dynamics simulations is developed to investigate the microscopic failure mechanisms of unidirectional (UD) carbon fiber reinforced polymer (CFRP) composites.
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Enhancement of tribological properties of polymer composites reinforced by functionalized graphene

TL;DR: In this article, a pull-out process is conducted to study the interfacial interactions between polymer matrices and graphene reinforcements using molecular dynamics simulations, and the simulation results show that decreases of about 13% and 42.3% in the average friction coefficient and abrasion rate of the functionalized graphene/polymer composites can be achieved.
References
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Journal ArticleDOI

Fast parallel algorithms for short-range molecular dynamics

TL;DR: In this article, three parallel algorithms for classical molecular dynamics are presented, which can be implemented on any distributed-memory parallel machine which allows for message-passing of data between independently executing processors.

Fast parallel algorithms for short-range molecular dynamics

TL;DR: Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems.
Journal ArticleDOI

Development and Testing of the OPLS All-Atom Force Field on Conformational Energetics and Properties of Organic Liquids

TL;DR: In this article, the parametrization and testing of the OPLS all-atom force field for organic molecules and peptides are described, and the parameters for both torsional and non-bonded energy properties have been derived, while the bond stretching and angle bending parameters have been adopted mostly from the AMBER force field.
Journal ArticleDOI

Merck molecular force field. I. Basis, form, scope, parameterization, and performance of MMFF94

TL;DR: The first published version of the Merck molecular force field (MMFF) is MMFF94 as mentioned in this paper, which is based on the OPLS force field and has been applied to condensed-phase processes.
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