Adaptive Real-Time Characterisation of Composite Precursors in Manufacturing

Anatoly Koptelov; Jonathan P.H. Belnoue; Ioannis Georgilas; Stephen R. Hallett; Dmitry S. Ivanov

doi:10.3389/fmats.2022.864584

Adaptive Real-Time Characterisation of Composite Precursors in Manufacturing

Anatoly Koptelov, Jonathan P.H. Belnoue, Ioannis Georgilas, Stephen R. Hallett, Dmitry S. Ivanov

University of Bristol

Research output: Contribution to journal › Article › peer-review

3 Citations (SciVal)

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
Article number	864584
Journal	Frontiers in Materials
Volume	9
DOIs	https://doi.org/10.3389/fmats.2022.864584
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).

Keywords

adaptive testing
characterisation
compaction
consolidation
resin flow

ASJC Scopus subject areas

Materials Science (miscellaneous)

Access to Document

10.3389/fmats.2022.864584Licence: CC BY

Cite this

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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.",

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AU - Ivanov, Dmitry S.

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Adaptive Real-Time Characterisation of Composite Precursors in Manufacturing

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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