Searched for: author%3A%22Broggi%2C+G.C.%22
(1 - 4 of 4)
document
Teixidó, Helena (author), Broggi, G.C. (author), Caglar, Baris (author), Michaud, Véronique (author)
We propose a methodology to monitor the progressive saturation of a non-translucent unidirectional carbon fabric stack through its thickness by means of X-ray radiography and extract the dynamic saturation curves using image analysis. Four constant flow rate injections with increasing flow speed were carried out. These were simulated by a...
journal article 2023
document
Yuksel, O. (author), Błazucki, S.K. (author), Broggi, G.C. (author), Caglar, Baris (author)
Transverse permeability is a key parameter to construct accurate process modelling frameworks for composite manufacturing processes whereby dry reinforcements are impregnated by a resin. The transverse permeability of fibrous structures is strongly correlated with the spatial fiber distribution which is inevitably irregular through the cross...
conference paper 2023
document
Caglar, Baris (author), Broggi, G.C. (author), Ali, Muhammad A. (author), Orgéas, Laurent (author), Michaud, Véronique (author)
Permeability of fibrous microstructures is a key material property for predicting the mold fill times and resin flow path during composite manufacturing. In this work, we report an efficient approach to predict the permeability of 3D microstructures from deep learning based permeability predictions of 2D cross-sections combined via a circuit...
journal article 2022
document
Caglar, Baris (author), Broggi, G.C. (author), Ali, Muhammad A. (author), Orgéas, Laurent (author), Michaud, Véronique (author)
Knowledge of permeability of fibrous microstructures is crucial for predicting the mold fill times and resin flow path in composite manufacturing. Herein we report a method to rapidly predict the permeability of 3D fibrous microstructures. Our method relies on predicting the permeability of 2D cross-sections via deep neural networks and...
conference paper 2022
Searched for: author%3A%22Broggi%2C+G.C.%22
(1 - 4 of 4)