Introduction for the special Issue: statistical fluid dynamics
Article dans une revue avec comité de lecture
Auteur
AMMAR, Amine VALETTE, Rudy CHINESTA SORIA, FranciscoRésumé
Characterizing complex material consists in establishing the relationship between flow rheology during forming processes and the induced micro-structural state that affects directly the final mechanical properties of the formed parts [...]
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Article dans une revue avec comité de lecturePRULIERE, Etienne; CHINESTA SORIA, Francisco; AMMAR, Amine; ; (Elsevier, 2012)
This paper addresses two issues usually encountered when simulating thermal processes in forming processes involving tape-type geometries, as is the case of tape or tow placement, surface treatments, / The first issue ...
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Article dans une revue avec comité de lectureGHNATIOS, Chady; ; ; ; CUETO, Elias; AMMAR, Amine; CHINESTA SORIA, Francisco (Wiley, 2020)
Composite manufacturing processes usually proceed from preimpregnated preforms that are consolidated by simultaneously applying heat and pressure, so as to ensure a perfect contact compulsory for making molecular diffusion ...
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Article dans une revue avec comité de lecture;AMMAR, Amine; CHINESTA SORIA, Francisco (Elsevier, 2013)
The morphology influencing rheological properties of suspensions of rigid spheres constitutes the flow induced collective ordering of the spheres characterized by two or more sphere distribution functions. When the rigid ...
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Article dans une revue avec comité de lectureAMMAR, Amine; ; MOREL, Franck; CHINESTA SORIA, Francisco (Elsevier Masson, 2015)
The analysis of materials mechanical behavior involves many computational challenges. In this work, we are addressing the transient simulation of the mechanical behavior when the time of interest is much larger than the ...
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Communication avec acte; ;AMMAR, Amine; CUETO, Elias; CHINESTA SORIA, Francisco; MOREL, Franck; ; EL AREM, Saber (Key Engineering Materials, 2015)
Forming processes usually involve irreversible plastic transformations. The calculation in that case becomes cumbersome when large parts and processes are considered. Recently Model Order Reduction techniques opened new ...