Computational description of morphology of dispersive components’ spatial structures in polymer composites

Abstract

A method for computational description of morphology of dispersive components' spatial structures in composites has been developed. The method is based on the calculation and comparison average values of the elongation coefficient (K e ), sinuosity coefficient (K s ), and fullness coefficient (K f ) for structures of the dispersed phase. Stationary systems such as composite oligodiene epoxide vulcanizate (PDI 3AK) as matrix with micro-dispersive aluminium powder and composite methyl methacrylate-styrene (PMMAS) as matrix with magnetite Fe 3 O 4 nanoparticles were investigated by SEM and AFM, respectively. Time behavior of micro-dispersive carbon black in dynamic system comprised of polydivinylisoprene oligomer (PDI) as the matrix was studied by optical microscopy. The obtained results by method for computational description of morphology had showed universality of the method and enabled ascertaining quantitative correlations describing shapes of certain particles of the filler and morphology of spatial structure under formation. Dependence of form coefficients on the time was determined. This dependence enables studying kinetics of structure formation.

Metal Oxides/Carbon Black (MOs/CB) Composites and Their Effect on the Thermal Decomposition of Ammonium Perchlorate

“…Carbon is a commercially available product that also finds application as a modifier of ballistic characteristics [35][36][37]. Owing to the presence of various surface oxygen-containing functional groups, carbon particles are able to form chain network patterns, which provide the uniform distribution of catalyst particles in a polymer matrix and increase its thermal conductivity [38]. Wang investigated the catalytic activity of the ZnO/CB catalyst which was fabricated by using atomic layer deposition technique on the thermal decomposition of ammonium perchlorate [39].…”