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No full textPoznańThe output of discrete element simulations includes thousands of time-frames and millions of interacting particles (bodies) in each frame. A single simulation can include terabytes of results, which may lead to very large, very complex data sets. Visualizing them is coupled with difficulties caused by either the number of particles, the number of time-frames or complexities of “system variables”. In this work, an attempt has been made to present a data format and graphical template dedicated to discrete element visualization. The article presents a practical approach to the issues, that is the result of programming an open source 3D visualizer, called DEV_KM
No full textPoznańIn the present paper we summarized our numerical investigations on the flow with heat transfer in rotating cavity performed by DNS (Direct Numerical Simulation) and LES (Large Eddy Simulation). We considered different geometrical configurations and different flow and thermal conditions. All presented computations have been performed in Poznań Supercomputing and Networking Center. The objective of our investigations was to analyze the coherent structures of transitional and turbulent flows and to compute statistical parameters, i.e. turbulent heat fluxes, the Reynolds stress tensor components, the turbulent Prandtl number and others. In the LES we used a version of the dynamic Smagorinsky eddy viscosity model proposed by Meneveau et al. (A Lagrangian dynamic subgrid-scale model of turbulence, J. Fluid Mech., vol. 319, 1996), in which the Smagorinsky coefficient at a given position x depends on the history of the flow along the fluid particle pathline
