Adaptive Real-Time Characterisation of Composite Precursors in Manufacturing

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

Research output: Contribution to journalArticlepeer-review

2 Citations (SciVal)


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 languageEnglish
Article number864584
JournalFrontiers in Materials
Publication statusPublished - 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).


  • adaptive testing
  • characterisation
  • compaction
  • consolidation
  • resin flow

ASJC Scopus subject areas

  • Materials Science (miscellaneous)


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