Automated Sentencing for Complex Shaped CFRP Components

碳纤维材料正越来越多地被考虑用于航空发动机部件。这样的部件被设计成能够承受高载荷，并具有更复杂的形状，这使得对材料完整性的检查变得更加重要和困难。对于孔洞等缺陷，需要并正在开发新的分析技术。然而，这样的技术创建了大量的数据集，这些数据集变得很耗时，很难或不可能由人类检查员解释。该项目的目标包括：1.研究碳纤维复合材料孔隙率检测的新的定量数据分析技术。2.开发数据融合方法，以便能够从多个数据源提取和显示信息。3.3D数据的自动解释。该项目由罗尔斯-罗伊斯航空发动机公司赞助。劳斯莱斯负责设计、制造和维护数千架民用和军用飞机上的发电厂。使用一系列无损评估(NDE)技术，在制造期间和定期使用期间对安全关键部件进行检查。该项目将提供用于检查新的复合材料风扇叶片的自动化分析技术，这将为公司提供改变游戏规则的能力。

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.