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Thickness Control of Autoclave-Molded Composite Laminates

Ekaterina Gongadze*, Chris Dighton, Gregory Nash, Martin Moss, Jonathan P Belnoue, Stephen R Hallett

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

10 Citations (Scopus)
272 Downloads (Pure)

Abstract

Composite materials and especially those made from pre-impregnated (prepreg) material are widely used in the aerospace industry. To achieve the tight assembly dimensional tolerances required, manufacturers rely on additional manufacturing steps like shimming or machining, which generate extra waste, which are time-consuming and expensive. Prepreg sheets come naturally with fiber and resin volume content variability that leads manufacturers to guarantee cured ply thicknesses within a typical +/−5% margin of their nominal values. For thick laminates, this can equate to a thickness variability of as much as a few millimeter. To solve the issue, it is proposed to twin in situ laser measurements of the uncured prepreg thickness with numerical simulations of the laminate autoclave consolidation and cure process and to adjust the number of additional sacrificial plies in the laminate based on the model predictions. This reduces the need for expensive and time-consuming trial and error approaches, extra machining operations, and results in the production of a part with high accuracy dimensions. Data for IM7/8552 and IM7/977-3 are presented to demonstrate the potential of the method to reach an almost exact target thickness for flat panels.
Original languageEnglish
Article number091006
Number of pages10
JournalJournal of Manufacturing Science and Engineering
Volume145
Issue number9
Early online date5 Jun 2023
DOIs
Publication statusPublished - 1 Sept 2023

Bibliographical note

Funding Information:
We would like to thank Paul Ainsworth for his input into this paper. This work has been funded by the EPSRC platform grant SIMulation of new manufacturing PROcesses for Composite Structures (SIMPROCS), (EP/P027350/1) and the University of Bristol Impact Acceleration Award grant (EP/R511663/1)—“Improving composite part quality through validated real-time simulations.”

Publisher Copyright:
Copyright © 2023 by ASME.

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