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Deep-learning image enhancement and fibre segmentation from time-resolved computed tomography of fibre-reinforced composites
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- Guo, Rui (författare)
- Catholic University of Leuven
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- Stubbe, Johannes (författare)
- Lund University
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- Zhang, Yuhe (författare)
- Lund University,Lunds universitet,NanoLund: Centre for Nanoscience,Annan verksamhet, LTH,Lunds Tekniska Högskola,Synkrotronljusfysik,Fysiska institutionen,Institutioner vid LTH,LTH profilområde: Nanovetenskap och halvledarteknologi,LTH profilområden,LU profilområde: Ljus och material,Lunds universitets profilområden,Other operations, LTH,Faculty of Engineering, LTH,Synchrotron Radiation Research,Department of Physics,Departments at LTH,Faculty of Engineering, LTH,LTH Profile Area: Nanoscience and Semiconductor Technology,LTH Profile areas,Faculty of Engineering, LTH,LU Profile Area: Light and Materials,Lund University Profile areas
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- Schlepütz, Christian Matthias (författare)
- Paul Scherrer Institute
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- Gomez, Camilo Rojas (författare)
- Catholic University of Leuven
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- Mehdikhani, Mahoor (författare)
- Catholic University of Leuven
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- Breite, Christian (författare)
- Catholic University of Leuven
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- Swolfs, Yentl (författare)
- Catholic University of Leuven
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- Villanueva-Perez, Pablo (författare)
- Lund University,Lunds universitet,NanoLund: Centre for Nanoscience,Annan verksamhet, LTH,Lunds Tekniska Högskola,Synkrotronljusfysik,Fysiska institutionen,Institutioner vid LTH,LTH profilområde: Nanovetenskap och halvledarteknologi,LTH profilområden,LTH profilområde: Avancerade ljuskällor,LU profilområde: Ljus och material,Lunds universitets profilområden,Other operations, LTH,Faculty of Engineering, LTH,Synchrotron Radiation Research,Department of Physics,Departments at LTH,Faculty of Engineering, LTH,LTH Profile Area: Nanoscience and Semiconductor Technology,LTH Profile areas,Faculty of Engineering, LTH,LTH Profile Area: Photon Science and Technology,Faculty of Engineering, LTH,LU Profile Area: Light and Materials,Lund University Profile areas
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(creator_code:org_t)
- 2023
- 2023
- Engelska.
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Ingår i: Composites Science and Technology. - 0266-3538. ; 244
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Monitoring the microstructure and damage development of fibre-reinforced composites during loading is crucial to understanding their mechanical properties. Time-resolved X-ray computed tomography enables such an in-situ, non-destructive study. However, the photon flux and fibre-matrix contrast limit its achievable spatial and temporal resolution. In this paper, we push the limits of temporal and spatial resolution for the microstructural analysis of unidirectional continuous carbon fibre-reinforced epoxy composites by establishing a new pipeline based on CycleGAN for unsupervised super-resolution and denoising and U-Net-id for individual fibre segmentation. After illustrating the benefits of a 3D CycleGAN over a 2D one, we show that data enhanced by this pipeline can yield similar segmentation quality to that of a slow-acquisition, high-quality scan that took up to 200 times longer to acquire. This pipeline, therefore, enables more robust data extraction from fast time-resolved X-ray tomography, removing a critical stumbling block for this technique.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Materialteknik -- Kompositmaterial och -teknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Materials Engineering -- Composite Science and Engineering (hsv//eng)
Nyckelord
- A. Carbon fibre
- A. Polymer-matrix composites
- D. Non-destructive testing
- D. X-ray computed tomography
- Deep learning
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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