Anna Madra, Dan-Thuy Van-Pham, Minh-Tri Nguyen, Chanh-Nghiem Nguyen, Piotr Breitkopf et François Trochu
Article de revue (2020)
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Libre accès au plein texte de ce document Version officielle de l'éditeur Conditions d'utilisation: Creative Commons: Attribution (CC BY) Télécharger (1MB) |
Abstract
The performance of heterogeneous materials, for example, woven composites, does not always reach the predicted theoretical potential. This is caused by defects, such as residual voids introduced during the manufacturing process. A machine learning-based methodology is proposed to determine the morphology and spatial distribution of defects in composites based on X-ray microtomographic scans of the microstructure. A concept of defect "genome" is introduced as an indicator of the overall state of defects in the material, enabling a quick comparison of specimens manufactured under different conditions. The approach is illustrated for thermoplastic composites with unidirectional banana fiber reinforcement.
Mots clés
polymer-matrix composites (PMCs); porosity/voids; X-ray microtomography
Sujet(s): |
2100 Génie mécanique > 2100 Génie mécanique 2100 Génie mécanique > 2101 Mécanique des solides |
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Département: | Département de génie mécanique |
Centre de recherche: | CREPEC - Centre de recherche sur les systèmes polymères et composites à haute performance |
Organismes subventionnaires: | CRSNG/NSERC, Research Center for High-Performance Polymer and Composite Systems (CREPEC) |
URL de PolyPublie: | https://publications.polymtl.ca/9398/ |
Titre de la revue: | Journal of Composites Science (vol. 4, no 4) |
Maison d'édition: | MDPI |
DOI: | 10.3390/jcs4040178 |
URL officielle: | https://doi.org/10.3390/jcs4040178 |
Date du dépôt: | 09 févr. 2023 16:13 |
Dernière modification: | 11 avr. 2024 01:40 |
Citer en APA 7: | Madra, A., Van-Pham, D.-T., Nguyen, M.-T., Nguyen, C.-N., Breitkopf, P., & Trochu, F. (2020). Automated identification of defect morphology and spatial distribution in woven composites. Journal of Composites Science, 4(4), 178 (17 pages). https://doi.org/10.3390/jcs4040178 |
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