Soft matters with different level of reinforcements like nano particles or fibres are widely used in various applications ranging from engineering like tires, bushings, seals, foams, etc. to biomedical like artificial heart implants. Hence, the ability to design and tailor such composites with respect to their performance for the required application is desired. The mechanical properties of such composites are highly influenced by the choice of production process and the choice of mixture. Depending of the choice of mixture and the interaction between its constituents, the stress-strain response of these materials lead to a complex hysteresis based response with reversible and irreversible stresses and strains. So far the complex behaviour can only be studied by first preparing the composite and then conducting experiments, which is both time consuming and expensive. Also, phenomenological models are used to fit the behaviour of such composites for further analysis. Hence, to be able to predict the mechanical response of such composites complex physical phenomenon like filler-filler and filler-matrix interaction need to be modelled and studied at the micro scale.
With a goal to setup a virtual laboratory to analyse such composites and predict their behaviour, we study a nano filler reinforced rubber compound using a statistically converged representative virtual micro-structure. This study compares the change in effective behaviour due to the presence of interphase between the fillers and the matrix. Filler-filler interaction is attributed to the presence of such interphases. The overlap of interphase leads to the formation of filler network forming a force flow path within the system. Hyperelastic chain damage model extended to account for the viscous behaviour of elastomeric materials has been used to represent both the matrix and the interphase. The effective behaviour including the hysteresis and residual strains are studied as an effect of hydrodynamic strain amplification the interphase morphology.