Abstract
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.
Original language | English |
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Article number | 864584 |
Number of pages | 18 |
Journal | Frontiers in Materials |
Volume | 9 |
DOIs | |
Publication status | Published - 7 Apr 2022 |
Bibliographical note
Funding Information:This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) through the Centre for Doctoral Training in Advanced Composites Collaboration for Innovation and Science (grant number EP/L016028/1) and SIMulation of new manufacturing PROcesses for Composite Structures (SIMPROCS) (grant number EP/P027350/1).
Publisher Copyright:
Copyright © 2022 Koptelov, Belnoue, Georgilas, Hallett and Ivanov.
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Adaptive real-time characterisation of composite precursors in manufacturing
Hallett, S. (Creator), Ivanov, D. (Creator), Belnoue, J. (Creator) & Koptelov, A. (Creator), University of Bristol, 1 Feb 2022
DOI: 10.5523/bris.1omtin2rdtf3620zbjrcowa4km, http://data.bris.ac.uk/data/dataset/1omtin2rdtf3620zbjrcowa4km
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