2 citations · 4 across the 3 of their papers we have counts for
6 papers
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…
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…
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…
Void Prediction During Liquid Composite Molding Processes: Wetting and Capillary Phenomena
Mohamed Amine Ben Abdelwahed, Yanneck Wielhorski, Laurent Bizet +1
The aim of this work is to contribute in improving fibrous preforms impregnation for Liquid Composite Molding (LCM) processes. The void prediction in LCM sparks off interest within…
Theoretical and Experimental Modelling of Bubble Formation with Connected Capillaries in Liquid Composite Moulding Processes
Yanneck Wielhorski, Mohamed Amine Ben Abdelwahed, Laurent Bizet +1
The void prediction in LCM processes sparks off interest within the composite material industry because it is a significant issue to keep the expected mechanical properties. The li…
Bubble Shape and Transport During LCM Processes: Experimental Modeling in a T-Junction Tube
Mohamed Amine Ben Abdelwahed, Yanneck Wielhorski, Laurent Bizet +1
Long fiber composite materials can be elaborated by Liquid Composite Molding (LCM), a family of processes where fibrous preforms are injected by a low viscosity resin. During this…