Enhanced thermal conductive property of polyamide composites by low mass fraction of covalently grafted graphene nanoribbons

2015 ◽  
Vol 3 (42) ◽  
pp. 10990-10997 ◽  
Author(s):  
Peng Ding ◽  
Nan Zhuang ◽  
Xieliang Cui ◽  
Liyi Shi ◽  
Na Song ◽  
...  
Keyword(s):  
Thermal Conductivity ◽  
Polymer Matrix ◽  
Mass Fraction ◽  
Graphene Nanoribbons ◽  
Low Mass ◽  
Thermal Contacts ◽  
Conductive Property

Covalently grafted graphene nanoribbons allows for reducing the number of thermal contacts between GNR layers and leading to the more efficient thermal paths in polymer matrix. The result is a 165% enhancement of the thermal conductivity of polyamide composites at a 0.5 wt% of GNR.

Thermal conductivity of sawtooth-like graphene nanoribbons: A molecular dynamics study

2012 ◽  
Vol 112 (12) ◽  
pp. 123508 ◽  
Author(s):  
Hui-Sheng Zhang ◽  
Zhi-Xin Guo ◽  
Xin-Gao Gong ◽  
Jue-Xian Cao
Keyword(s):  
Thermal Conductivity ◽  
Molecular Dynamics ◽  
Graphene Nanoribbons

Influence of doped nitrogen and vacancy defects on the thermal conductivity of graphene nanoribbons

2013 ◽  
Vol 19 (11) ◽  
pp. 4781-4788 ◽  
Author(s):  
Haiying Yang ◽  
Yunqing Tang ◽  
Jie Gong ◽  
Yu Liu ◽  
Xiaoliang Wang ◽  
...  
Keyword(s):  
Thermal Conductivity ◽  
Graphene Nanoribbons ◽  
Vacancy Defects

scholarly journals Impact of vacancies on the thermal conductivity of graphene nanoribbons: A molecular dynamics simulation study

AIP Advances ◽  
2017 ◽  
Vol 7 (1) ◽  
pp. 015112 ◽  
Author(s):  
Maliha Noshin ◽  
Asir Intisar Khan ◽  
Ishtiaque Ahmed Navid ◽  
H. M. Ahsan Uddin ◽  
Samia Subrina
Keyword(s):  
Thermal Conductivity ◽  
Molecular Dynamics ◽  
Molecular Dynamics Simulation ◽  
Simulation Study ◽  
Graphene Nanoribbons ◽  
Dynamics Simulation

scholarly journals Cosmological simulations of low-mass galaxies: some potential issues

2010 ◽  
Vol 6 (S270) ◽  
pp. 503-506
Author(s):  
Pedro Colín ◽  
Vladimir Avila-Reese ◽  
Octavio Valenzuela
Keyword(s):  
Star Formation ◽  
Adaptive Mesh Refinement ◽  
Mass Fraction ◽  
Star Formation Rate ◽  
Formation Rate ◽  
Mesh Refinement ◽  
Adaptive Mesh ◽  
Stellar Mass ◽  
The Galaxy ◽  
Low Mass

AbstractCosmological Adaptive Mesh Refinement simulations are used to study the specific star formation rate (sSFR=SSF/Ms) history and the stellar mass fraction, fs=Ms/MT, of small galaxies, total masses MT between few × 1010 M⊙ to few ×1011 M⊙. Our results are compared with recent observational inferences that show the so-called “downsizing in sSFR” phenomenon: the less massive the galaxy, the higher on average is its sSFR, a trend seen at least since z ~ 1. The simulations are not able to reproduce this phenomenon, in particular the high inferred values of sSFR, as well as the low values of fs constrained from observations. The effects of resolution and sub-grid physics on the SFR and fs of galaxies are discussed.

scholarly journals Elastomer Characterization Method for Trapped Rubber Processing

Polymers ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 686 ◽  
Author(s):  
Pooria Khalili ◽  
Thomas Boulanger ◽  
Brina J. Blinzler
Keyword(s):  
Thermal Conductivity ◽  
Polymer Matrix ◽  
High Pressures ◽  
Polymer Matrix Composites ◽  
Dynamic Change ◽  
Experimental Tests ◽  
High Volume ◽  
Virtual Design ◽  
Closed Cavity ◽  
Recent Advances

The increasing high-volume demand for polymer matrix composites (PMCs) brings into focus the need for autoclave alternative processing. Trapped rubber processing (TRP) of PMCs is a method capable of achieving high pressures during polymer matrix composite processing by utilizing thermally induced volume change of a nearly incompressible material inside a closed cavity mold. Recent advances in rubber materials and computational technology have made this processing technique more attractive. Elastomers can be doped with nanoparticles to increase thermal conductivity and this can be further tailored for local variations in thermal conductivity for TRP. In addition, recent advances in computer processing allow for simulation of coupled thermomechanical processes for full part modeling. This study presents a method of experimentally characterizing prospective rubber materials. The experiments are designed to characterize the dynamic in situ change in temperature, the dynamic change in volume, and the resulting real-time change in surface pressure. The material characterization is specifically designed to minimize the number and difficulty of experimental tests while fully capturing the rubber behavior for the TRP scenario. The experimental characterization was developed to provide the necessary data for accurate thermomechanical material models of nearly incompressible elastomeric polymers for use in TRP virtual design and optimization.

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