Abstract
The introduction of new materials in industrial practice goes through cumbersome processes with very long lead times and huge cost of manufacturing trials. Modern materials are complicated and require tailored characterisation testing programmes. The benchmarking exercises for materials in manufacturing, the first steps towards standardisation of testing practices, often show remarkable discrepancy when identical materials are tested on similar rigs at different labs. The proposed approach reinvents the entire process of composites testing. Autonomous Testing Framework intelligent system designs test programmes independently of human intervention and enables fast screening of material properties on the go. It decides on the loading programme reacting on feedback data received from the material in real-time. The developed testing tool was previously tested for two prepreg systems. This research focuses on the characterisation testing of dry materials.
Original language | English |
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Title of host publication | Modeling and Prediction |
Editors | Anastasios P. Vassilopoulos, Veronique Michaud |
Place of Publication | Switzerland |
Publisher | Composite Construction Laboratory (CCLab), Ecole Polytechnique Federale de Lausanne (EPFL) |
Pages | 926-933 |
Number of pages | 8 |
ISBN (Electronic) | 9782970161400 |
DOIs | |
Publication status | Published - 30 Jun 2022 |
Event | 20th European Conference on Composite Materials: Composites Meet Sustainability, ECCM 2022 - Lausanne, Switzerland Duration: 26 Jun 2022 → 30 Jun 2022 |
Publication series
Name | ECCM 2022 - Proceedings of the 20th European Conference on Composite Materials: Composites Meet Sustainability |
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Volume | 4 |
Conference
Conference | 20th European Conference on Composite Materials: Composites Meet Sustainability, ECCM 2022 |
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Country/Territory | Switzerland |
City | Lausanne |
Period | 26/06/22 → 30/06/22 |
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
- compaction
- consolidation characterisation
- resin flow
ASJC Scopus subject areas
- Ceramics and Composites