Selective distribution of BaTiO3 and graphene in PS/PVDF blends: Molecular dynamics simulations. (March 2023)

• Record Type: Journal Article
• Authors: Bo, Ruitian; Wang, Jihua; Wang, Chunfeng; Wang, Yongliang; He, Peigang; Han, Zhidong
• Is Part Of: Materials today communications. Volume 34(2023)
• Publication Date: 2023-03
• Subjects: Molecular dynamics simulations -- Polystyrene -- Polyvinylidene fluoride -- Barium titanate -- Graphene nanoplatelets; Materials science -- Periodicals; 620.11
• DOI: 10.1016/j.mtcomm.2022.105247
• Languages: English
• ISSNs: 2352-4928

Abstract

Abstract: The selective distribution of inorganic particles in polymer blends is of great significance in designing the composites with excellent properties such as dielectric properties. Molecular dynamics (MD) was applied in this paper to simulate the distribution of BaTiO3 (BT) and graphene nanoplatelets (GNP) in polystyrene/polyvinylidene fluoride (PS/PVDF) blends. The models of PS and PVDF were built and the phase structure of the blends was simulated at the different PS/PVDF mass ratios. According to the results of solubility parameter and Flory-Huggins interaction parameter (χ), the immiscibility between PS and PVDF was illustrated and the phase transition phenomena were predicted. Combined with the SEM observations, the co-continuous structure of the blend at the PS/PVDF ratio of 6/4 was obtained at the maximal χ value. The binding energy and radial distribution function were calculated to predict the selective distribution of BT or GNP in PS/PVDF blends. According to the results of the MD simulations, the distribution of BT in the PVDF phase and GNP in the PS phase were successfully predicted, which were in good agreement with the experimental results by SEM observations and EDS element mapping. The MD simulations would be effective in building the co-continuous immiscible blends and predicting the selective distribution of functional fillers, which will be helpful for the investigation of functional composites with high performance. Graphical Abstract: ga1