In the quest towards reduced carbon emissions and fuel consumption, aeronautical industries are moving towards the development and application of thermoplastic materials in the airframes. But the expensive and lengthy qualification test campaigns are a challenge to their application in structural designs. In this framework, TREAL aims to reduce the expensive physical testing through simulation. At the first step of the project, extensive experimental campaigns will be performed to obtain the material data of the thermoplastic materials. These will be used to implement reliable analysis models to predict the damage modes at different levels. Uncertainty quantification and management technologies are applied to obtain reliable material and design allowables using the developed analysis models.
Thermoplastics are a type of plastic that can be melted and recast almost indefinitely. This means they are amenable to reprocessing and recycling, enhancing their sustainability. Further, they do not require a curing step after consolidation and this reduces production times. TREAL plans to help the EU aerospace sector exploit the potential of thermoplastics through the development of an advanced thermoplastic modelling platform. It will ensure accurate determination of design allowables, the allowable materials’ property values derived from test data. More specifically, the reliable determination of the allowable limits of stress, strain, or stiffness for certain configurations and conditions will support the utilisation of thermoplastic composites in future aircraft designs.
More specifically, the overall objective of TREAL is ‘To develop an efficient and comprehensive framework to generate material allowables for thermoplastic based composite materials: from the material characterization to the virtual generation of design allowables’.
The following sub-objectives were defined in order to accomplish the global objective:
• To understand the mechanical behaviour of a thermoplastic composite material
• To develop analysis models for thermoplastic composite materials which are able to predict all damage and failure modes at both material and component levels
• To define the test and data reduction methods needed to define the material card of thermoplastic composite material
• To develop numerical methodologies to propagate material, process and testing uncertainties along the model chain up to the allowable computation
• To define a reduced test matrix for the validation of the virtually generated allowables
• To define a complete framework and implement it in a user-friendly platform for advanced and non-advanced users
• To assess accuracy, efficiency, user-friendliness, etc., of the virtual material allowables generation platform, and perform the necessary incremental models and methodology improvements.