3 papers
eess.SP2026
Periodicity and image registration for yarn path extraction in large 3D textiles
Hafsa El Herichi, Arturo Mendoza, Yanneck Wielhorski +2
Accurate identification of yarns in X-ray computed tomography volumes remains a critical and complex step in generating high-fidelity numerical models of woven composites. This wor…
cs.CV2026
Yarn tracking of large-scale 3D textile reinforcements using topological material features
Hafsa El Herichi, Arturo Mendoza, Yanneck Wielhorski +2
Automated segmentation of CT images has become increasingly important to enhance the reliability of simulations through the generation of high fidelity numerical models. This study…
cs.CV2021
Descriptive Modeling of Textiles using FE Simulations and Deep Learning
Arturo Mendoza, Roger Trullo, Yanneck Wielhorski
In this work we propose a novel and fully automated method for extracting the yarn geometrical features in woven composites so that a direct parametrization of the textile reinforc…