Model assisted probability of detection analysis for nondestructive evaluation of complex shaped parts

Purpose and goal

The goal of this work has been to investigate the possibility to use mathematical modelling to characterize the capability and reliability of automated eddy current (EC) inspections of jet-engines. EC is a commonly used method for both in-service engine inspection and quality assurance in manufacturing of jet-engine components. Non-destructive evaluation (NDE) based on the EC technique is studied within this work. The focus of this project is model based estimation of method capability in realistic and automated eddy current procedures. The results of the project show that model based POD is possible to apply in realistic problems in aerospace industry; for development of procedures, evaluation of the method´s capability, investigations of inspection cases and for training of personnel. The work has shown that it is possible to link models and simulation on the method level to capability estimations necessary in design, which has been extended by directly linking the characteristics of defects to POD and severity. The capability of the NDE procedure can thus be connected to the impact the defect has on the structure. The project has increased GKN Aerospace Engine Systems competitiveness in design and manufacturing of jet-engine components that require quality assurance through inspection techniques qualified with POD results. Fast estimations of method capability have been enabled and the possibility to optimize or design an inspection procedure with respect to POD. Knowledge transfer between industry and academia, and the development of aero-engine industry-related research and education environment has worked very well within the project, strengthening existing collaborations.

Planned approach and implementation

The project has increased GKN Aerospace Engine Systems competitiveness in design and manufacturing of jet-engine components that require quality assurance through inspection techniques qualified with POD results. Fast estimations of method capability have been enabled and the possibility to optimize or design an inspection procedure with respect to POD. Knowledge transfer between industry and academia, and the development of aero-engine industry-related research and education environment has worked very well within the project, strengthening existing collaborations.