TEMPERATURE DISTRIBUTION DETERMINATION OF THERMOPLASTIC COMPOSITES SAMPLES IN BIAS EXTENSION TESTS USING A DIGITAL TWIN

Onderzoeksoutput: Conference paper

1 Citaat (Scopus)

Samenvatting

Designing a production process such as thermoforming for thermoplastic composites might be challenging as it requires material characteristics at high temperatures. Material characterization tests (e.g., bias extension) in the molten state can encounter several difficulties, one of the most important ones is maintaining a uniform temperature distribution on the sample. Accordingly, during this research, a set of thermal tests has been initially done at different temperature levels. During these tests, the temperature was measured at several locations. Next, we developed a finite element model for both the sample and the clamp. In the final step, the boundary conditions of the FE model have been determined by coupling the experimental results and the numerical model. Results show the strong dependency of the sample temperature gradient on the clamps, which has been ignored in the previous studies. Moreover, a sensitivity study is done to select the best location for the temperature sensor for future studies.
Originele taal-2English
Titel20th European Conference on Composite Materials
RedacteurenAnastasios P. Vassilopoulos, Veronique Michaud
UitgeverijEPFL/ESCM
Pagina's558-564
Aantal pagina's7
ISBN van elektronische versie9782970161400
DOI's
StatusPublished - 26 jun 2022
Evenement20th European Conference on Composite Materials -
Duur: 26 jun 202230 jun 2022

Publicatie series

NaamECCM 2022 - Proceedings of the 20th European Conference on Composite Materials: Composites Meet Sustainability
Volume4

Conference

Conference20th European Conference on Composite Materials
Periode26/06/2230/06/22

Bibliografische nota

Funding Information:
The authors acknowledge the support of the STOEMP project "Stamping of thermoplastic composite materials" funded by Innoviris and coordinated by Solvay.

Publisher Copyright:
©2022 Hossein Abadi et al.

Copyright:
Copyright 2023 Elsevier B.V., All rights reserved.

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