Mesoscale flows of liquid are of great importance for various nano- and biotechnology applications. Continuum model do not properly capture the physical phenomena related to the diffusion effects, such as Brownian motion. Molecular approach on the other hand, is computationally too expensive to provide information relevant for engineering applications. Hence, the need for a mesoscale approach is apparent. In recent years many mesoscale models have been developed, particularly to study flows of gas. However, mesoscale behaviour of liquid substantially differs from that of gas. This paper presents a numerical study of micro-liquids phenomena by a Voronoi Dissipative Particle Dynamics method. The method has its origin from the material science field and is one of very few numerical techniques which can describe correctly molecular diffusion processes in mesoscale liquids. This paper proves that correct prediction of molecular diffusion effects plays predominant role on the correct prediction of behaviour of immersed structures in the mesoscopic flow.
The presence of more than one solute diffused in fluid mixtures is very often requested for discussing the natural phenomena such as transportation of contaminants, underground water, acid rain and so on. In the paper, the effect of nonlinear thermal radiation on triple diffusive convective boundary layer flow of Casson nanofluid along a horizontal plate is theoretically investigated. Similarity transformations are utilized to reduce the governing partial differential equations into a set of nonlinear ordinary differential equations. The reduced equations are numerically solved using Runge-Kutta-Fehlberg fourth-fifth order method along with shooting technique. The impact of several existing physical parameters on velocity, temperature, solutal and nanofluid concentration profiles are analyzed through graphs and tables in detail. It is found that, modified Dufour parameter and Dufour solutal Lewis number enhances the temperature and solutal concentration profiles respectively.