An Anti-Clustering Model for Stability Enhancement of a 3D Moving Particle Semi-Implicit Method and Two-Phase Coupling between MPS and Euler Grids

As a Lagrangian gridless particle method, the MPS (Moving Particle Semi-implicit) method has wide engineering application. However, for complex 3D flows, unphysical pressure oscillations often occur and result in failure of simulations. This paper compares stability enhancement methods proposed by different researchers to develop 3D, stable method. The results indicate that are incapable eliminating clustering leads instability as main source coarser spacing cases. An anti-clustering model, referring SPH (Smoothed Hydrodynamics) artificial viscosity is further reduce instability. Combining various models, several typical examples simulated comparatively. compared with those VOF (Volume Fluid) model using commercial software validate accuracy combination models. It concluded (1) cases adopt high-order Laplacian terms PPE more accurate than adopting low-order operators; (2) can produce tuned interparticle force prevent introduce no additional effects flow normal state, which plays very positive role MPS; (3) resolution significantly maintains simulation given algorithms methods. coupled Euler grid (FLUENT V17 software, ANSYS, Pittsburgh, PA, USA) two phases. In particular, algorithm used calculate liquid-phase change from continuous dispersed, finite volume based on adopted measure corresponding gas-phase motion. atomization liquid jet under static air calculated capture interface.