Using virtual reality (VR) technologies to assess local airflow parameters in respect of an individual can significantly increase the informativity of the microclimate simulation. Methods of computational fluid dynamics (CFD) are widely used in architecture and civil engineering to study the microclimate of a city or simulate the wind regime of a building. This study shows the possibility, to identify particle accumulation areas and particle (re-)sedimentation percentages with good accuracy, using Euler–Lagrange CFD simulation. To compare the CFD simulations and experiments, the simulation results are weighted by particle size density distributions. Lagrangian particle tracking determines these local deposition distributions over the whole typical flow range in hydraulic reservoirs for different particle sizes. The experiments and multiphase CFD simulations were carried out to investigate particle trajectories, their sedimentation and resuspension progress and to determine the accumulation areas. This paper focusses on the particle size-dependent behaviour of solid contamination in hydraulic reservoirs, more precisely, on a CFD method to predict particle behaviour and the development of an experimental procedure to verify the model. Therefore, smart designs of hydraulic reservoirs can reduce machine downtime and maintenance costs. Fluid contaminations lead to increased wear of mechanical components, noise, technical failures, bad repeatability and fluid degradation. Thus, it is a major component to seize the accurate function of hydraulic systems. The hydraulic reservoir ensures the separation of gaseous, liquid and solid contaminations and has a big influence on temperature management.

Hydraulic reservoirs are mostly considered as a storage of fluid but must fulfil more requirements. Clean hydraulic oil is a major requirement for hydraulic systems.

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