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4. Recycling potential of carbon fibres in the construction industry: From a technical and ecological perspective.

Author

Bayram, Berfin, Overhage, Vanessa, Löwen, Marco, Terörde, Katharina, Raulf, Karoline, Greiff, Kathrin, and Gries, Thomas

Subjects
PRODUCT life cycle assessment, LIFE cycles (Biology), REINFORCED plastics, CIRCULAR economy, REINFORCED concrete
Abstract

Even though carbon fibres (CFs) have been increasingly used, their end-of-life (EOL) handling presents a challenge. To address this issue, we evaluated the use of recycled CFs (rCFs), produced through pyrolysis, as rovings to be used in textile reinforced concrete structures. Mechanical processing (hammer mill) with varying machine settings was then used to assess EOL handling, considering the separation potential of rCFs and the length of separated rCFs. The results showed that rCF rovings can be separated from concrete with an average of 87 wt.-%, whereas the highest rCF length and separation yield were observed in different machine settings. In addition, a techno-environmental assessment on the mechanical process was performed to compare different machine settings. The machine settings with the highest yield of rCF rovings also had the highest fine fraction that cannot be further separated. Furthermore, life cycle assessment (LCA) was conducted covering three life cycles of CFs and an additional LCA for comparing rCF with virgin CF. LCA results revealed that CF reinforced plastic and concrete productions are the two main contributors to environmental impacts. The comparative LCA between virgin CF and rCF also showed that using rCF is environmentally advantageous, as virgin CF production causes 230% more global warming potential compared to rCF. Future studies assessing different allocation approaches, quantifying the quality of rCF, and its inclusion in LCA are relevant. [ABSTRACT FROM AUTHOR]

Published
2024
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6. Overcoming Data Scarcity in the Quality Control of Safety-Critical Fibre-Reinforced Composites by means of Transfer and Curriculum Learning

Author

Herberger, David, Hübner, Marco, Brillowski, Florian, Overhage, Vanessa, Tegetmeyer-Kleine, Thorsten, Hohnhäuser, Benjamin, Herberger, David, Hübner, Marco, Brillowski, Florian, Overhage, Vanessa, Tegetmeyer-Kleine, Thorsten, and Hohnhäuser, Benjamin

Abstract

Fibre-reinforced composites are one promising material class to provide a response to the increasing environmental awareness within society. Due to their excellent lightweight potential, fibre-reinforced composites are preferably employed in safety-critical applications, requiring extensive quality control (QC). However, commercially available QC systems are only able to measure fibre deviations, not directly detecting the error itself. In consequence, a worker is required to perform a manual inspection. Artificial intelligence and especially convolutional neural networks (CNN) offer the opportunity to directly detect and classify defects. However, to train the corresponding algorithms large amounts of data are required, which are often inaccessible in production. Artificial augmentation of the available data is a popular approach to tackle this problem, yet, resulting most of the time in undesired overfitting of the CNN. Therefore, in this contribution we examine the transfer of human learning behaviour elements to algorithms in form of transfer learning (TL) and curriculum learning (CL). The overall aim is to research, whether CL and TL are appropriate approaches to address data scarcity in e.g. production environments. Therefore, we perform our research on the error detection of three-dimensional shaped fibre-reinforced textiles.

Published
2022

7. Overcoming Data Scarcity in the Quality Control of Safety-Critical Fibre-Reinforced Composites by means of Transfer and Curriculum Learning

Author

Brillowski, Florian, Overhage, Vanessa, Tegetmeyer-Kleine, Thorsten, Hohnhäuser, Benjamin, Herberger, David, and Hübner, Marco

Subjects
Quality Control, Machine learning, Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau, Production, Curriculum, ddc:620, Data Scarcity, Konferenzschrift, Composites
Abstract

Proceedings of the Conference on Production Systems and Logistics: CPSL 2022 / Editors: David Herberger, Marko Hübner 3. Conference on Production Systems and Logistics, CPSL 2022, Vancouver, Canada, 17 May 2022 - 20 May 2022; Hannover : publish-Ing. 83-90 (2022). doi:10.15488/12191, Published by publish-Ing., Hannover

Published
2022
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