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Efficient modelling of complex multi-phase fluid-flows is one of the most common engineering challenges nowadays. The majority of the commonly used CFD solvers are based on Eulerian approaches (grid-based). These methods are, in general, efficient with some drawbacks, e.g. it is necessary to handle additionally the location of the interface or free-surface within computational cells. Very promising alternatives to the Eulerian methods are Lagrangian approaches which, roughly speaking, discretize fluid instead of the domain. One of the most common methods of this kind is the Smoothed Particle Hydrodynamics (SPH) method, a fully Lagrangian, particle-based approach for fluid-flow simulations. One of its main advantages, over the Eulerian techniques, is no need for a numerical grid. Consequently, there is no necessity to handle the interface shape because it is directly obtained from the set of computational particles.

Autonomous cars already exist, why should anybody these days spend manual time on mesh preparation? This is a task for a machine, not for a human being. In this session, we will show a one-click way to prepare the mesh for multi-bodies or complex topological objects for 3D printing. The underlying software is already in use for paint shop applications: here it prepares a body in white starting from a CAD geometry fully automatically with 5-8 hours computational time on a desktop machine, while requiring less than 15 minutes of manual work. As an input, tessellated data can be imported from several sources including automatic interfaces allowing to extract the data of multi-bodies from CAD. However, these data are often defective and not manifold. In addition, the describing surface is not represented in an exact way. The only exact information one can rely on at this stage is the position of the vertices of the mesh: they are located directly on the surface.