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Synthesis and Functionalization of 3D Nano-graphene Materials: Graphene Aerogels and Graphene Macro Assemblies
Published on: November 5, 2015
Nano-Level Damage Characterization of Graphene/Polymer Cohesive Interface under Tensile Separation.
S S R Koloor1,2, S M Rahimian-Koloor3, A Karimzadeh4
1School of Mechanical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia. s.s.r.koloor@gmail.com.
This study reveals that graphene/epoxy interfaces follow an exponential softening law, not a bilinear one. Using this accurate model prevents significant errors in predicting nanocomposite damage.
Area of Science:
- Materials Science
- Nanotechnology
- Computational Mechanics
Background:
- Graphene-reinforced polymer nanocomposites are crucial materials.
- Understanding graphene/polymer interface behavior is key to predicting material performance.
- Existing models may not accurately capture interface mechanics.
Purpose of the Study:
- To characterize the elastic-damage behavior of graphene/polymer interfaces.
- To develop and validate a hybrid molecular dynamic (MD) and finite element (FE) simulation approach.
- To compare exponential softening with bilinear softening models for interface damage.
Main Methods:
- Hybrid molecular dynamic (MD) and finite element (FE) simulations.
- Tensile separation simulations of graphene/polymer interfaces.
- Development and validation of a cohesive zone model (CZM).
Main Results:
- Graphene/epoxy interfaces exhibit an elastic-softening exponential regressive law.
- The cohesive zone model accurately predicts interface damage.
- Key interface parameters: normal stiffness (5 × 10-8 aPa·nm-1), tensile strength (9.75 × 10-10 N·nm-1), fracture energy (2.1 × 10-10 N·nm-1), and exponent α = 7.74.
- Bilinear softening models can introduce up to 55% error.
Conclusions:
- The exponential regressive law is essential for accurately modeling graphene/epoxy interface behavior.
- FE simulations with a validated CZM are adequate for predicting interface damage.
- Accurate interface modeling is critical for reliable nanocomposite design.
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