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• Contribution to the understanding of the complex behaviour of manufacturing effects and their consequences for the structural performance of components. The focus is set on fibre waviness and porosity. If needed, other effects can be studied too.
• Examination of the influence of manufacturing effects on the whole component using different simulation strategies, i.e coupled multiscale simulations vs. an engineering approach
• Numerical models for the evaluation of critical positions in the component regarding damage behaviour
• Selection and evaluation of representative volume elements (RVE) out of real components
• Generation of a FE-mesh out of real 3D defect structures (fibre waviness, pores) by using CT-data for FE-simulations.
• Development of a Python script for the (semi-)automatic creation of simulation models for effective parameter studies.
• Simulation guidelines for a defined approach to model and couple the simulation models at different scales.

Description of the contents:
Depending on the different influences of the effects like type, characteristics, and position, uncertainties appear in the detection. It needs to be determined, how accurate an effect needs to be detected in order to get a precise predictive quality of the simulation. T
Manufacturing effects can lead to local changes in stiffnes, which influences the global load bearing behaviour of the component and it can lead to a load redistribution within the component and a discharge of the local area with the fibre waviness defect. 
Uncertainties in the detection and manual modelling of manufacturing effects are state-of-the-art in the industry. The goal is to prepare CT-data for the use in FE-analysis and then examine the additional value of the simulation when using exact defect geometries.

The influence of the detection accuracy on the quality is part of parameter studies. Manual defect modelling on a statistical basis in order to analyse the influence of different defect properties and to overcome uncertainties in the characterisation.
Out of the CT-data a mesh is created using the in-house software as well as commercially available software (avalable at FHOOE)



This project is funded by the following FFG-programm: TAKE-OFF Das österreichische Luftfahrtprogramm.
Project numberr: 874540
Titel: Platform for predictive evaluation of aerospace components with multimodal, multiscale inspection.