To characterise the integrity and detect the slightest imperfections of structures or materials without damaging them is the raison d’être of Non Destructive Testing (NDT).
To do that, a set of methods such as ultrasonics, eddy currents or X-rays are used either during the production, or in the course of use, or within the framework of maintenances.
With ageing engines and the expected increase of air traffic in the next 20 years, a central challenge to the aeronautical industry will consist in developing the efficiency of maintenance operations, which still represent around 20% of an aircraft operator’s indirect operating costs. This challenge is particularly important for metallic parts within the engine and aircraft industry.
Maintenance is directly related to the concept of Probability of Detection (POD) curves which are obtained by expensive experimental campaigns.
Furthermore, the aeronautical regulations regarding safety are steadily becoming tougher, imposing enhanced expectations on Probability of Detection (POD) sizing. In particular, new aeronautical regulations require appropriate damage tolerance assessments for critical parts (such as compressor and turbine disc) in order to address the potential for failure from material, manufacturing and service induced anomalies within the Approved Life of the part.
The aim of the PICASSO project is to build a new and original concept of "simulation supported POD curves based on Non Destructive Testing (NDT) simulation in addition to existing experimental data base".