DataSheet3_Adaptive Real-Time Characterisation of Composite Precursors in Manufacturing.ZIP

This paper explores the application of a novel adaptive consolidation sensor framework for the characterisation of composite precursors. The designed framework develops material-driven test programmes in real-time and defines robust material models for the studied composite precursor. The proposed approach allows to remove any subjective judgement about the material behaviour and to reduce human involvement at the experimentation stage. The proposed framework along with the developed data transfer/acquisition hardware setup was put to the test within several characterisation exercises. Two different material systems were tested. The output of the proposed testing method—model and properties for the tested materials—is compared with the results of the conventional deterministic characterisation tests.本文针对复合材料预制体（composite precursors）的表征任务，探究了一种新型自适应固结传感器框架（adaptive consolidation sensor framework）的应用。该设计框架可实时生成材料驱动型测试方案，并为所研究的复合材料预制体构建鲁棒材料模型。所提方法可消除针对材料行为的一切主观判断，并降低试验阶段的人工介入程度。将所提框架与自研的数据传输/采集硬件装置相结合，在多项表征试验中开展了验证测试。本次试验共测试了两种不同的材料体系。将本测试方法的输出结果——即受试材料的模型与性能参数——与常规确定性表征试验的结果进行了对比分析。