Modelling of Composite Fabric Processing

总体目标是提供模拟和设计工具，使工业能够更有效地设计和制造由纺织品预制件制成的复合材料部件。该项目将专注于干式无卷曲织物(NCFs)的双隔膜成型。多层成形的模型将被发展为包括层对工具、层对隔膜和层对层摩擦。将在ABAQUS有限元(FE)软件中开发用户定义的经验摩擦定律来描述这一行为。采用双横隔板成形的实验验证了模型的有效性。将开发一种基于机器学习的优化设计方法，以提供对成形大型复杂形状时的皱纹和缺陷位置的快速预测。这将被用来识别几何设计或工艺条件的变化，这可能会在选定的演示部件上提供可接受的缺陷级别。

The overall goal is to provide simulation and design tools which will enable industry to design and manufacture composite components from textile preforms more efficiently. The project will focus on double-diaphragm forming of dry non-crimp fabrics (NCFs). Modelling of multi-layer forming will be developed to include ply-to-tool, ply-to-diaphragm and ply-to-ply friction. An empirical user-defined friction law will be developed within Abaqus finite element (FE) software to represent this behaviour. Experiments using double-diaphragm forming will validate the model. An optimisation design methodology based on machine learning will be developed to provide rapid prediction of the location of wrinkles and defects when forming large and complex shapes. This will be used to identify changes in geometric design or process conditions, which can deliver acceptable level of defects across the chosen demonstrator parts.