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This work falls in the context of aeronautical maintenance processes. The purpose is to increase the effectiveness and the efficiency of the operations carried out during the activities in the processes mentioned above, as well as the reduction of the incidence of the human error in the development of these activities, with consequent implicit increase of the safety of the aircrafts. Human error has been documented as a primary contributor to more than 70 percent of commercial airplane hull-loss accidents. While typically associated with flight operations, human error has also recently become a major concern in maintenance practices and air traffic management. We have tried to obtain an increment of the safety formalizing the information exchange process avoiding ambiguous, inaccurate or incomplete data that can indirectly encourage the deviation of the personnel from established procedures.

The purpose of this work is to increase the effectiveness and the efficiency of the operations carried out during the activities in the aeronautical maintenance and transformation processes. In particular, we examine the Non-Routine Card Resolution Process. An NRC is document issued when a fault, not expected, detected during the maintenance/transformation operations, is found. Typically to describe a defect we need of the aircraft zone (MajorZone, Sub-MajorZone, Zone, etc.) and/or the system (ATA system) and/or the coordinates, the component (sometimes with the sub-component) and the kind of the defect with its attributes. We name this set of information Non-Routine Card. The costs and the efforts of the NRC management are of the same order of magnitude of the planned activity management (Job Card - JC). The process requires that corrective actions come from applicable technical documentation.

The paper describes the upgrade and validation of a Cartesian solver able of estimating the mass deposition of super-cooled large droplets (SLD) on aerodynamic surfaces. A decoupled approach is applied in which the air-flow field is first computed by using a RANS method and then passed to an Eulerian solver for obtaining the water-field. Both tools are based on a finite-volume (FV) approach based on locally refined Cartesian meshes and immersed boundaries. The use of semi-empirical models allow to take into account the primary effects due to splashing and bouncing of large droplets on aerodynamic surfaces. Here, we discuss the results of a numerical campaign with the aim of estimating the accuracy of two mass-deposition models on benchmarks from different experimental databases. Besides, for some cases we compare the present results with the ones obtained by using a body-conforming method.