Learning the macroscopic flow model of short fiber suspensions from fine-scale simulated data
Article dans une revue avec comité de lecture
Fiber-fiber interaction plays an important role in the evolution of fiber orientation in semi-concentrated suspensions. Flow induced orientation in short-fiber reinforced composites determines the anisotropic properties of manufactured parts and consequently their performances. In the case of dilute suspensions, the orientation evolution can be accurately described by using the Jeffery model; however, as soon as the fiber concentration increases, fiber-fiber interactions cannot be ignored anymore and the final orientation state strongly depends on the modeling of those interactions. First modeling frameworks described these interactions from a diffusion mechanism; however, it was necessary to consider richer descriptions (anisotropic diffusion, etc.) to address experimental observations. Even if different proposals were considered, none of them seem general and accurate enough. In this paper we do not address a new proposal of a fiber interaction model, but a data-driven methodology able to enrich existing models from data, that in our case comes from a direct numerical simulation of well resolved microscopic physics.
Showing items related by title, author, creator and subject.
Nonlinear Regression Operating on Microstructures Described from Topological Data Analysis for the Real-Time Prediction of Effective Properties Article dans une revue avec comité de lectureYUN, Minyoung; ARGERICH, Clara; CUETO, Elias; DUVAL, Jean Louis; CHINESTA, Francisco (MDPI, 2020)Real-time decision making needs evaluating quantities of interest (QoI) in almost real time. When these QoI are related to models based on physics, the use of Model Order Reduction techniques allows speeding-up calculations, ...
Article dans une revue avec comité de lectureFRAHI, Tarek; ARGERICH, Clara; YUN, Minyoung; FALCO, Antonio; BARASINSKI, Anais; CHINESTA, Francisco (AIMS Press, 2020)The aim of this paper is to leverage the main surface topological descriptors to classify tape surface profiles, through the modelling of the evolution of the degree of intimate contact along the consolidation of pre-impregnated ...
Article dans une revue avec comité de lectureARGERICH MARTÍN, Clara; IBÁÑEZ PINILLO, Rubén; BARASINSKI, Anaïs; CHINESTA, Francisco (Elsevier Masson, 2019)The aim of this paper is to present a new classification and regression algorithm based on Artificial Intelligence. The main feature of this algorithm, which will be called Code2Vect, is the nature of the data to treat: ...
Article dans une revue avec comité de lectureMARTÍN, Clara Argerich; MÉNDEZ, Arnulfo Carazo; SAINGES, Olivier; PETIOT, Emilie; BARASINSKI, Anais; PIANA, Mathieu; RATIER, Louis; CHINESTA, Francisco (MDPI, 2020)In the framework of civil aviation noise levels are becoming restricted every year, on one hand to provide comfort to the passengers and on the other hand to be compliant with regulations protecting airports surroundings. ...
Article dans une revue avec comité de lectureLEÓN, Angel; ARGERICH MARTÍN, Clara; BARASINSKI, Anaïs; SOCCARD, Eric; CHINESTA, Francisco (Springer Verlag, 2019)Automated tape placement - ATP - is a recent manufacturing technology for composite materials. Therefore, a correct modeling of the multi-physical process is critical in order to make possible in-situ consolidation. In ...