Rheological Properties and Percolation of High-Density Polyethylene Filled with Graphites Having Different Topological Parameters

Abstract

The studies concerning the influence of particle parameters such as size, shape and concentration on the rheological properties of graphite (GP) filled high-density polyethylene (HDPE) composites were carried out by using two kinds of GP with different shape and size distribution of the particles. Upon the critical concentration of fillers, the dynamic storage modulus G' remarkably increases and exhibits a "pseudo solid-like" behavior within the lower frequency region. These phenomena are assumed the characteristics of percolated network structure formed by the filler particles. The values of the threshold for two kinds of HDPE/GP composites are also evaluated. It is proved that the smaller was the specific surface of particles dispersed in the composite, the lower the thresholds. It is found that there exists correspondence between the morphology and the percolation phenomena of the rheological behavior for these composites. It is suggested that different topological parameters of two kinds of GP particles result in different percolation mechanism.

Glass-Fiber Networks as an Orbit for Ions: Fabrication of Excellent Antistatic PP/GF Composites with Extremely Low Organic Salt Loadings

“…Both rheology analysis and optical microscopy (OM) were used to detect the formation of the GF network in the PP matrix, as shown in Figures and , respectively. The distinct plateau − in the storage modulus curve at 30 wt % GF indicates the formation of GF networks in the melt state (as shown in Figure ). The complex viscosity measurements of the PP/GF binary composites lead to the same conclusion, as evidenced by the complex viscosity curves of the binary composites as a function of frequency in Figure S3.…”

Revealing the three-dimensional filler structure in a rubber matrix based on fluorescein modified layered double hydroxides

“…This tendency was more pronounced for F-NLDH lled system due to its large specic surface area. 29 Moreover, a jump in G 0 occurred from 10 wt% to 15 wt% for SBR/F-NLDH compounds, which was the evidence of percolation, i.e. a particle network structure was formed in the compounds.…”

Correlation between rheological behavior and structure of multi-component polymer systems

“…The authors and their collaborators have focused on the applications of rheological measurements to multicomponent/multi-phase polymer systems, including (1) the relationship between thermo-oxidation and dynamic rheological behavior of polyolefins [14][15][16] , (2) the correlation between functional percolation and viscoelastic percolation of conductive polymer composites [17][18][19] , (3) the relationship between dynamic rheological characteristics and phase-separation behavior of LCST-type polymer blends [20][21][22][23][24][25] , (4) the microstructure and linear/nonlinear viscoelasticity of block copolymers [26][27][28] and the relationship between shear-induced crystallization and rheological behavior of polymers [29][30][31] , and (5) the relationship between rheological behavior and performance of polymer composites filled with particles [32][33][34][35][36][37][38][39][40][41][42] .…”