Computational Screening of Diffusive Transport in Nanoplatelet-Filled Composites: Use of Graphene to Enhance Polymer Barrier Properties
Artikel i vetenskaplig tidskrift, 2018

Motivated by the substantial interest in various fillers to enhance the barrier properties of polymeric films, especially graphene derivatives, we perform a computational screening of obstructed diffusion to explore the design parameter space of nanoplatelet-filled composites synthesized in silico. As a model for the nanoplatelets, we use circular and elliptical nonoverlapping and impermeable flat disks, and diffusion is stochastically simulated using a random-walk model, from which the effective diffusivity is calculated. On the basis of 4000 generated structures and diffusion simulations, we systematically investigate the impact of different nanoplatelet characteristics such as orientation, layering, size, polydispersity, shape, and amount. We conclude that the orientation, size, and amount of nanoplatelets are the most important parameters and show that using nanoplatelets oriented perpendicular to the diffusion direction, under reasonable assumptions, with approximately 0.2% (w/w) graphene, we can reach 90% reduction and, with approximately 1% (w/w) graphene, we can reach 99% reduction in diffusivity, purely because of geometrical effects, in a defect-free matrix with perfect compatibility. Additionally, our results suggest that the existing analytical models have some difficulty with extremely large aspect ratio (extremely flat) nanoplatelets, which calls for further development.

composites

nanoplatelets

graphene

computational screening

diffusivity

Författare

Magnus Röding

RISE Research Institutes of Sweden

Karolina Gaska

Chalmers, Industri- och materialvetenskap, Konstruktionsmaterial

Roland Kádár

Chalmers, Industri- och materialvetenskap, Konstruktionsmaterial

Niklas Lorén

Chalmers, Fysik

RISE Research Institutes of Sweden

ACS Applied Nano Materials

25740970 (eISSN)

Vol. 1 1 160-167

MEMS-baserad energiförsörjning av sensornätverk för Industri - Energy Supply Toolkit

VINNOVA (2016-03809), 2016-11-01 -- 2017-08-24.

Styrkeområden

Nanovetenskap och nanoteknik

Materialvetenskap

Infrastruktur

C3SE (Chalmers Centre for Computational Science and Engineering)

Ämneskategorier

Textil-, gummi- och polymermaterial

Kompositmaterial och -teknik

DOI

10.1021/acsanm.7b00067

Mer information

Senast uppdaterat

2024-01-03