With aging engines and the increase of air traffic in the next 20 years, a central challenge in the aeronautical industry will concern the increase of the efficiency of maintenance which still represents around 20% of an operator’s indirect operating costs. This challenge is particularly important for metallic parts within the engine aircraft industry, because of the criticity of rotative components and the high temperature environment. Maintenance is directly related to the concept of Probability of Detection (POD) curves which are obtained by expensive experimental campaigns. Within the PICASSO project, we propose to evaluate the concept of using Non Destructive Testing low cost simulations to obtain Probability of Detection (POD) curves. The aim of PICASSO is therefore to build a new and original way to get simulation supported POD curves and to establish basis and recommendations for a future European standard for Qualification and Reliability of inspection for aircraft industry. The main economic impacts will be to ensure savings in costs concerning aircraft maintenance and engine development, improvements of time maintenance and elimination of unscheduled maintenance.
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