Automated Sentencing for Complex Shaped CFRP Components

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Carbon fibre material is increasingly being considered for aero-engine components. Such components are being designed to withstand high loads and to have more complex shapes, making inspection for material integrity both more important and more difficult. New analysis techniques are required and are being developed for defects such as porosity. However, such techniques create large data sets that become time consuming and difficult, or impossible, to interpret by a human inspector. The aims of the project will include: 1. Investigation of new quantitative data analysis techniques for porosity detection in CFRP. 2. Development of data fusion methods to allow extraction and presentation of information from multiple data sources. 3. Automated interpretation of 3D data.The project is sponsored by Rolls-Royce Aero-engines. Rolls-Royce is responsible for the design, manufacture and maintenance of the power plants in thousands of civil and military aircraft. Safety critical components are inspected both during manufacture and periodically in-service, using a range of non-destructive evaluation (NDE) techniques. This project will deliver automated analysis techniques for inspections of the new composite fan blades that will provide game-changing capability for the company.