• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)
  • View Item
  • Home
  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A non-local void dynamics modeling and simulation using the Proper Generalized Decomposition

Article dans une revue avec comité de lecture
Author
SIMACEK, Pavel
ADVANI, Suresh G.
93432 University of Delaware [Newark]
ccGHNATIOS, Chady
533922 Notre Dame University-Louaize [Lebanon] [NDU]
ccCHINESTA SORIA, Francisco
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]

URI
http://hdl.handle.net/10985/19415
DOI
10.1007/s12289-019-01490-7
Date
2020
Journal
International Journal of Material Forming

Abstract

In this work we develop a void filling and void motion dynamics model using volatile pressure and squeeze flow during tape placement process. The void motion and filling are simulated using a non-local model where their presence is reflected in the global macroscale behavior. Local pressure gradients during compression do play a critical role in void dynamics, and hence the need for a non-local model. Deriving a non-local model accounting for all the void motion and dynamics entails a prohibitive number of degrees of freedom, leading to unrealistic computation times with classical solution techniques. Hence, Proper Generalized Decomposition – PGD – is used to solve the aforementioned model. In fact, PGD circumvents the curse of dimensionality by using separated representation of the space coordinates. For example, a 2D problem can be solved as a sequence of 1D problems to find the 2D solution. The non-local model solution sheds light on the fundamental of the void dynamics including their pressure variation, motion and closure mechanisms. Finally, a post treatment of the transient compression of the voids is used to derive conclusions regarding the physics of the void dynamics.

Files in this item

Name:
PIMM_IJFM_2020_CHINESTA.pdf
Size:
5.087Mb
Format:
PDF
View/Open

Collections

  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)

Related items

Showing items related by title, author, creator and subject.

  • On the High-Resolution Discretization of the Maxwell Equations in a Composite Tape and the Heating Effects Induced by the Dielectric Losses 
    Article dans une revue avec comité de lecture
    ccGHNATIOS, Chady; BARASINSKI, Anais; ccCHINESTA SORIA, Francisco (MDPI AG, 2022-01)
    Electromagnetic field propagation inside composite materials represents a challenge where fiber-scale simulation remains intractable using classical simulation methods. The present work proposes an original 3D simulation ...
  • Spurious-free interpolations for non-intrusive PGD-based parametric solutions: Application to composites forming processes 
    Article dans une revue avec comité de lecture
    ccCUETO, Elias; FALCO, Antonio; DUVAL, Jean-Louis; ccGHNATIOS, Chady; ccCHINESTA SORIA, Francisco (Springer Science and Business Media LLC, 2020)
    Non-intrusive approaches for the construction of computational vademecums face different challenges, especially when a parameter variation affects the physics of the problem considerably. In these situations, classical ...
  • Incremental dynamic mode decomposition: A reduced-model learner operating at the low-data limit 
    Article dans une revue avec comité de lecture
    REILLE, Agathe; HASCOET, Nicolas; ccCUETO, Elias; DUVAL, Jean-Louis; KEUNINGS, Roland; ccGHNATIOS, Chady; ccAMMAR, Amine; ccCHINESTA SORIA, Francisco (Elsevier Masson, 2019)
    The present work aims at proposing a new methodology for learning reduced models from a small amount of data. It is based on the fact that discrete models, or their transfer function counterparts, have a low rank and then ...
  • On the effective conductivity and the apparent viscosity of a thin rough polymer interface using PGD‐based separated representations 
    Article dans une revue avec comité de lecture
    ccGHNATIOS, Chady; DELPLACE, Frank; BARASINSKI, Anais; DUVAL, Jean-Louis; ccCUETO, Elias; ccAMMAR, Amine; ccCHINESTA 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 ...
  • On the data-driven modeling of reactive extrusion 
    Article dans une revue avec comité de lecture
    IBAÑEZ, Ruben; CASTERAN, Fanny; ARGERICH, Clara; HASCOET, Nicolas; CASSAGNAU, Philippe; ccGHNATIOS, Chady; ccAMMAR, Amine; ccCHINESTA SORIA, Francisco (MDPI, 2020)
    This paper analyzes the ability of different machine learning techniques, able to operate in the low-data limit, for constructing the model linking material and process parameters with the properties and performances of ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales