Adaptive Real-Time Characterisation of Composite Precursors in Manufacturing

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.

Automated summary

This paper explores the application of a novel adaptive consolidation sensor framework for characterizing composite precursors. The framework develops real-time material-driven test programs and defines robust material models for the studied composite precursors, eliminating subjective judgement and reducing human involvement in the experimentation stage. The proposed framework and the developed data transfer/acquisition hardware setup were tested in several characterisation exercises, comparing the results with conventional deterministic characterisation tests.