Dynamics of Filler Network in the Highly Nanofilled Systems

Highly nanofilled systems like dental materials, tire and so on are extremely used in industries. The prediction properties of those systems are an interesting area for researches and engineers. In the highly nanofilled systems the structure of particle controls their rheological properties, so studying the structure and properties of particle structure helps to predict the properties on highly nanofilled systems. In this study, it is considered the structure of particles in highly filled systems is chain like and this chain has a viscoelastic behavior therefore the viscoelastic behavior of particle chains as function of particle size and concentration is predicted. It is found, relaxation time of particle chains related to particle concentration with power of 2 and inverse of particle size with power of 5 and relaxation modulus is related to radical of particle concentration to particle size.