Predictions of electrical percolation of graphene‐based nanocomposites by the three‐dimensional Monte Carlo simulation. Issue 34 (20th January 2020)

• Record Type: Journal Article
• Authors: Liu, Yue; Wu, Chen; Zhou, Huanfeng; Liu, Ping; Liu, Caixia; Wu, Hao; Zhao, Junnan; Zhang, Yugang; Ma, Yuanming; Huang, Ying; Song, Aiguo; Ge, Yunjian
• Is Part Of: Journal of applied polymer science. Volume 137:Issue 34(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-01-20
• Subjects: electrical percolation -- graphene nanoplatelets -- polymer‐matrix composites -- statistical properties -- three‐dimensional Monte Carlo simulation; Polymers -- Periodicals; Polymerization -- Periodicals; 668.9
• DOI: 10.1002/app.48999
• Languages: English
• ISSNs: 0021-8995

Abstract

Abstract: Disk model is usually used to represent graphene nanoplatelets (GNPs) which are considered as frame‐like structure with edges and corners, and it has lack of quantitative accuracy. In order to minimize error caused by morphology, distribution, and interaction between GNPs and matrix, square and folded plate models were constructed to predict the percolation volume fraction ( ϕ c ) of GNPs‐based nanocomposites by calculating connection possibility. Meanwhile, disk model is used for comparison. The results revealed that the ϕ c of square and folded plate models is smaller than that of disk model with consistent parameters, and it is concluded that the ϕ c of GNPs‐based nanocomposites predicted by disk model should be higher than that of experimental. The correctness of mixed model of square and folded plate is also verified by experimental. Due to the agglomeration of GNPs under the actual situation, the result of simulation is slightly smaller than that of experiment. Abstract :