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The problem of a small unmanned aerial vehicles (SUAV) swarm landing on a robotic platform is solved. The necessity of creating a controlled waiting area for a SUAV in the landing system is shown using simulation. The principle of SUAV air traffic organisation in the space-time waiting zone and the issues of a safe landing are revealed. The structure of the information-measuring and control system of the SUAV landing with the space-time waiting area and the buffer landing zone is proposed. Its main features are given and the possibility for landing a SUAV swarm of various structure is shown.

Aluminium-copper (Al–Cu) compounds are one of the most-studied precipitation-strengthened alloy systems. Mechanical properties of Cu-Al systems considerably dependent on the phase composition. Excellent properties primarily depend on the intrinsic microstructures formed during processing stages, particularly the precipitated phases or the so-called intermetallics, along with various defects and impurity segregation, have important influences on the composite strength. Study of fabrication techniques to obtain composites with improved mechanical properties, careful investigation of phase composition, dynamics and kinetics are of high importance. Molecular dynamics simulation is used to study on the atomistic level the process of formation of Al/Cu composite from two initially separated crystals by severe plastic deformation. The proposed model is the simplification of scenario, experimentally observed previously. However, even in such a simple model, understanding of the mechanisms underlying in the process of composite formation can be obtained.

The paper studies the process of cluster formation, condensation and evaporation in a viscous flow of a two-phase gas-droplet mixture in nozzles and free jets. The simulation results obtained using the gas-kinetic scheme and the method of moments are presented. The system of equations is solved with the second order accuracy finite volume method and using the approximate AUSM+up or HLL methods for solution of the Riemann problem.