SIMULATION OF SEMIDILUTE SUSPENSIONS BY DISSIPATIVE PARTICLE DYNAMICS

The stochastic Dissipative Particle Dynamics (DPD) method is calibrated to discover how relative viscosity of monodisperse colloidal suspension versus volume fraction behaves against different settings assumed for solid mesoparticles. This process together with monitoring the system statistical properties and temperature reveals routes towards capturing the experimental relative viscosity with reasonable computational cost and numerical complexity. Amongst many setting parameters, we only focus on alteration patterns in relative viscosity in semidilute regime obtained by changing solid DPD particles diameter, repulsion coefficient and dissipation rate. Repulsion parameter for solid species plays a major role in adjusting system homogeneity which is crucial to have a stable suspension by avoiding agglomeration. An interesting connection is made between the degree of suspension homogeneity, 3D occupancy patterns and maximum peak in radial distribution function (RDF). The isotropy in diffusion patterns and MSD linear graphs assist to obtain the optimum species size ratio leading to experimental relative viscosity.