Distribution of Simulating Reinforced Dispersed Particles Across Metal Rods

The paper outlines the process of developing a computer model to predict particle distribution during centrifugal casting using the ANSYS FLUENT 16.0 software module. There are several mathematical models developed to predict the volume distribution of particles. The majority of the models is based on a steady state assumption: these are models describing criteria for repelling particles by a propagating crystallization front and the models calculating critical velocities of absorbing particles by growing dendritic crystals. Some models are aimed at describing the dynamic state of the system or at determining the criterion of capturing non-metallic inclusions by hardening front during centrifugal metal casting. The description of the process for deriving the model, the schematic diagram and geometry, is given. The model preprocessor considers the following phenomena: the two-phase flow, the energy equation, the laminar flow, the introduction of discrete phases (hardening particles), and the melting/crystallizing phenomena. The model considers the interaction between two liquid phases: air and steel melt. The interphase interaction is described using the surface tension equation. Steel grade 12Х18Н10T is used as the base metal. The particles of tungsten carbide, boron carbide and yttrium oxide are introduced as dispersion. The physics and chemical parameters of these substances are considered by the simulator. The process of simulating particle distribution during centrifugal casting using the computational cluster is described using Skif-Ural, which is one of the top 500 most powerful computers in the world. In addition to graphical display, the simulation generates data for coordinates of each particle with the time increment of 0.00001 sec which allows predicting the exact location of each particle at each moment of casting. The results show that the process of centrifugal casting involving introduction of dispersed particles allows obtaining dispersed and hardened metal materials having forecasted distribution of heat-resisting particles.