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International Conference on

Minerals, Metallurgy and Materials

March 22-24, 2021 | Valencia, Spain

Trochu Francois

Committee for Materials Science Conference-Trochu Francois
Trochu Francois
Research Center for High Performance Polymer and Composite Systems, Canada
Title : Creation of Material Twin Geometric Models of Continuous Fiber Composites Based on X Ray Microtomography

Abstract:

Engineering textiles are used as fibrous reinforcements in high performance polymer composites. The mechanical and flow properties of continuous fiber composites depend on their dual-scale porous structure. Depending on the flow front velocity during fabrication by Liquid Porous Molding (LPM), long and elongated microscopic open spaces (micropores) may appear between the filaments of fiber tows, or up to two orders of magnitude larger mesoscopic spaces (mesopores) can be created between yarns. Because of this complex material structure and due to intrinsic material variability of high performance composites, numerical predictions are not easy. To achieve this goal, X-ray microtomography (Micro-CT) can be used to provide detailed information on the geometric mesostructure of continuous fiber composites. A new approach will be presented to construct detailed geometric models of engineering textiles from Micro-CT three-dimensional (3D) images. These models are called “material twins”, if they possess three distinctive features: (1) they are representative of material variability; (2) their accuracy can be evaluated; and (3) computer simulations can be carried out to predict mechanical and flow behavior. This new and general methodology will be applied to create the material twin model of a 2D plain woven fabric. By introducing a new multiple factor morphological accuracy criterion, the quality of the “material twin” reconstruction can be compared to models obtained by standard image processing techniques or based on textile modeling software. Material twin models allow performing computer analysis to predict material properties. Hence, the creation of a virtual laboratory based on this approach can be contemplated. Examples of results for permeability prediction will be given. Finally, it will also be shown how accounting for material variability in this virtual analysis turns out to be a critical issue for high performance composites to ensure a successful comparison of numerical predictions with experimental results.

Biography:

Born in Montreal (Quebec), Dr. François Trochu graduated from École Polytechnique, in Paris in 1974. He obtained a Master degree in Aerospace Engineering from the University of Texas at Austin in 1975 and a PhD in 1990 from Polytechnique Montreal. Professor of Mechanical Engineering at Polytechnique Montreal since 1990, he has published more than 130 papers in scientific journals and presented over 100 refereed lectures in international conferences. Member of the scientific board of the Flow Processes in Composite Materials (FPCM) international conferences since 1994, he works on Liquid Composite Molding (LCM), a family of manufacturing processes of high performance composites based on resin injection through fibrous reinforcements. The original process simulation software PAM-RTM developed by his research team to simulate LCM processes, was commercialized since 1994 and has been distributed by ESI Group since 2001. With now more than 100 industrial and academic users worldwide, it is recognized as a leading tool to simulate the fabrication of high performance composites by resin injection. Professor Trochu held during 14 years a renown Tier I - Canada Research Chair on high performance composites at Polytechnique Montréal and two industrial research chairs of five years each with General Motors for automotive applications and Safran in the aerospace field. His research results are now applied in these two important industrial sectors of automotive and aerospace, as well as in other fields. He has developed recently an original methodology to create “material twin” geometric models of complex fiber architectures from 3D images obtained by X ray microtomography. This new approach allows analysing the mesoscopic structure of fibrous reinforcements and provides representative geometric models of materials to predict by computer analysis the mechanical and flow properties of high

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