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 a...

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Bibliographic Details
Main Authors: Belnoue, J.P.H (Author), Georgilas, I. (Author), Hallett, S.R (Author), Ivanov, D.S (Author), Koptelov, A. (Author)
Format: Article
Language:English
Published: Frontiers Media S.A. 2022
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Online Access:View Fulltext in Publisher
Description
Summary: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. Copyright © 2022 Koptelov, Belnoue, Georgilas, Hallett and Ivanov.
ISBN:22968016 (ISSN)
DOI:10.3389/fmats.2022.864584