Multi-scale Optimisation for Additive Manufacturing of fatigue resistant shock-absorbing MetaMaterials

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

µ-data base with aeging without process parameters

Updated µ-data base (D3.3) after three-year ageing of the polymer.

Set of homogenised results without process parameters

Homogenised responses of different loading performed on the different SVEs. Deliverable is under the form of data points corresponding to the loading curves. This deliverable is a subset of D4.2 which does not include the effect of the process parameters.

µ-data base without process parameters

Subset of D32 that can go public Database of microstructure cell geometry and material properties obtained by inferring parameters from both the model of the AM process T24 and the experimental characterisation T3132 without the effect of the process parameters

Surrogate model of the p.o.i. without the process parameters

Surrogate model of the macroscale property or interest (p.o.i.) trained using the stochastic FEM (D5.2) with the trained surrogate model of the meso-scale responses (D5.1) as random field input. The surrogate model is a subset of D6.1 which does not include the effect of the process parameters on the p.o.i. in order to go public.

Updated μ-data base without process parameters

Updated version of deliverable D3.3 with new experimental tests performed in Task 3.1 and Task 3.2. Depending on the results of the new experimental campaign and the final selection of the material systems, either EOS materials or the new Luvosint® materials, or both of them, will be included in this deliverable.

Cell design of lattice metamaterial

First cell definition of lattice metamaterial The deliverable is under the form of schematics

2-scale optimisation methodology

Implemented optimisation methodology of i) the process parameter and ii) geometrical metamaterial geometry parameters, using the p.o.i. surrogate model (D6.1); and of iii) the macro-scale dimensions

Trained mesoscale surrogate models

Trained mesoscale surrogate model using full-field homogenisation results of WP4 (D4.2). The deliverable is under the form of a stochastic model (e.g. a random fields generator).

Stochastic multiscale software

Implementation in cm3Libraires part of GMSH of a stochastic-finite elements method that use as input the mesoscale surrogate model (D5.1) as a random field. GMSH is an open source software (http://gmsh.info/)

Workshop

Organisation of a workshop gathering the different actors in the field, not only the project own community, but also i) commercial software developers, ii) end-users of the shock-absorbing applications, and iii) actors in AM.

Set of SVEs

Set of Stochastic Volume Elements SVEs defined by both their geometry and material properties to be handled in the form of stochastic voxelized microstructures

Cell design of bi-stable metamaterial

First cell definition of bistable metamaterial The deliverable is under the form of schematics

Homogenisation model of bulk porous material

Homogenisation model of thermoviscoelasticviscoplastic porous polymer matrices under large deformations and evolving porosity The deliverable is under the form of a code

Printed bi-stable metamaterial

First printed bistable metamaterial in view of the microcharacterisation in T31 and T32

Printed lattice metamaterial

First printed lattice metamaterial in view of the microcharacterisation in T31 and T32

Publications

Compilation of publications:Two to three publications in international journals and the participation on three international conferences are foreseen per researcher working on the project. The journal and conferences will be related to the different areas targeted by the project: i) numerical methods; ii) additive manufacturing sciences; iii) advanced materials; iv) structural engineering; iv) UQ methods; v) biomechanics, etc. Co-supervised PhD theses will also be made public.

Web-site & social media account

Project web-site with logo and social media accounts (one Facebook page and one twitter account) set up to promote the project results.

Publications

Toward stochastic multi-scale methods in continuum solid mechanics

Auteurs: L. Noels
Publié dans: Advances in Applied Mechanics, Numéro 55, 2022, ISSN 0065-2156
Éditeur: Academic Press
DOI: 10.1016/bs.aams.2022.03.001

Adaptation and validation of FFT methods for homogenization of lattice based materials

Auteurs: S. Lucarini, L. Cobian, A. Voitus, J. Segurado
Publié dans: Computer Methods in Applied Mechanics and Engineering, Numéro 388, 2022, Page(s) 114223, ISSN 0045-7825
Éditeur: Elsevier BV
DOI: 10.1016/j.cma.2021.114223

Design method for individualised 3D printed lattice shoe midsoles

Auteurs: Anna Hössinger-Kalteis, Michael Lackner, Zoltán Major, Fatma Karayagiz, Hans Nopper, Thomas Lück
Publié dans: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 2025, ISSN 1464-4207
Éditeur: Professional Engineering Publishing Ltd.
DOI: 10.1177/14644207241291232

Recurrent Neural Networks (RNNs) with dimensionality reduction and break down in computational mechanics; application to multi-scale localization step

Auteurs: Ling Wu, Ludovic Noels
Publié dans: Computer Methods in Applied Mechanics and Engineering, Numéro 390, 2022, Page(s) 114476, ISSN 0045-7825
Éditeur: Elsevier BV
DOI: 10.1016/j.cma.2021.114476

Bayesian inference of high-dimensional finite-strain visco-elastic-visco-plastic model parameters for additive manufactured polymers and neural network based material parameters generator

Auteurs: Ling Wu, Cyrielle Anglade, Lucia Cobian, Miguel Monclus, Javier Segurado, Fatma Karayagiz, Ubiratan Freitas, Ludovic Noels.
Publié dans: International Journal of Solids and Structures, Numéro 283, 2023, Page(s) 112470, ISSN 0020-7683
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.ijsolstr.2023.112470

Viscoelastic-viscoplastic polymer composites: Development and evaluation of two very dissimilar mean-field homogenization models

Auteurs: Mohame Haddad, IssamDoghri, OlivierPierard
Publié dans: International Journal of Solids and Structures, Numéro 236-237, 2022, Page(s) 111354, ISSN 0020-7683
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.ijsolstr.2021.111354

FFT based approaches in micromechanics: fundamentals, methods and applications

Auteurs: S Lucarini, M V Upadhyay and J Segurado
Publié dans: Modelling and Simulation in Materials Science and Engineering, Numéro 30, 2022, Page(s) 023002, ISSN 0965-0393
Éditeur: Institute of Physics Publishing
DOI: 10.1088/1361-651x/ac34e1

A data-driven reduced-order surrogate model for entire elastoplastic simulations applied to representative volume elements

Auteurs: Soumianarayanan Vijayaraghavan, Ling Wu, Ludovic Noels, Stéphane P. A. Bordas, Sundar Natarajan & Lars A. A. Beex
Publié dans: Scientific Reports, Numéro 13, 2023, Page(s) 12781, ISSN 2045-2322
Éditeur: Nature Publishing Group
DOI: 10.1038/s41598-023-38104-x

Particle size effects in ductile composites: An FFT homogenization study

Auteurs: Marco Magri, Laurent Adam, Javier Segurado
Publié dans: Journal of the Mechanics and Physics of Solids, Numéro 160, 2022, Page(s) 104759, ISSN 0022-5096
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.jmps.2021.104759

A computationally efficient hybrid formulation for viscoelastic–viscoplastic polymer solids and structures under large numbers of loading cycles

Auteurs: Darith Anthony Hun, Mohamed Haddad, Issam Doghri, Georgios Tsilimidos, Michael Lackner, Zoltan Major, Leonhard Doppelbauer, Sara Haouala
Publié dans: International Journal of Solids and Structures, Numéro 314, 2025, Page(s) 113290, ISSN 0020-7683
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.ijsolstr.2025.113290

An FFT framework for simulating non-local ductile failure in heterogeneous materials

Auteurs: M. Magri, S. Lucarini, G. Lemoine, L. Adam, J. Segurado
Publié dans: Computer Methods in Applied Mechanics and Engineering, Numéro 380, 2021, Page(s) 113759, ISSN 0045-7825
Éditeur: Elsevier BV
DOI: 10.1016/j.cma.2021.113759

Second-order computational homogenisation enhanced with non-uniform body forces for non-linear cellular materials and metamaterials

Auteurs: Ling Wu, Mohib Mustafa, Javier Segurado, Ludovic Noels
Publié dans: Computer Methods in Applied Mechanics and Engineering, Numéro 407, 2023, Page(s) 115931, ISSN 0045-7825
Éditeur: Elsevier BV
DOI: 10.1016/j.cma.2023.115931

A recurrent neural network-accelerated multi-scale model for elasto-plastic heterogeneous materials subjected to random cyclic and non-proportional loading paths

Auteurs: Ling Wu, Van Dung Nguyen, Nanda Gopala Kilingar, Ludovic Noels
Publié dans: Computer Methods in Applied Mechanics and Engineering, Numéro 369, 2020, Page(s) 113234, ISSN 0045-7825
Éditeur: Elsevier BV
DOI: 10.1016/j.cma.2020.113234

Micromechanical characterization of the material response in a PA12-SLS fabricated lattice structure and its correlation with bulk behavior

Auteurs: L. Cobian, M. Rueda-Ruiz, J.P. Fernandez-Blazquez, V. Martinez, F. Galvez, F. Karayagiz, T. Lück, J. Segurado, M.A. Monclus
Publié dans: Polymer Testing, Numéro 110, 2022, Page(s) 107556, ISSN 0142-9418
Éditeur: Elsevier BV
DOI: 10.1016/j.polymertesting.2022.107556

An implicit FFT-based method for wave propagation in elasticheterogeneous media

Auteurs: R. Sancho, V. Rey-de-Pedraza, P. Lafourcade, R.A. Lebensohn, J. Segurado
Publié dans: Computer Methods in Applied Mechanics and Engineering, Numéro 404, 2023, Page(s) 115772, ISSN 0045-7825
Éditeur: Elsevier BV
DOI: 10.1016/j.cma.2022.115772

Sensitivity study of multi-stable metamaterials applied in helmet liners

Auteurs: A. Hössinger-Kalteis, EJ. Pitz, Z. Major
Publié dans: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications., Numéro 238, 2024, Page(s) 890-900, ISSN 1464-4207
Éditeur: Professional Engineering Publishing Ltd.
DOI: 10.1177/14644207231203482

Modeling and simulation of viscoelastic solids under large numbers of loading cycles

Auteurs: Darith Anthony Hun, Mohamed Haddad & Issam Doghri
Publié dans: Mechanics of Advanced Materials and Structures, 2022, ISSN 1537-6494
Éditeur: Taylor & Francis
DOI: 10.1080/15376494.2022.2037170

Effect of sample dimensions on the stiffness of PA12 Lattice materials fabricated using Powder Bed Fusion

Auteurs: L. Cobian, E. Maire, J. Adrien, U. Freitas, J.P. Fernández-Blázquez, M.A. Monclús, J. Segurado
Publié dans: Additive Manufacturing, Numéro 93, 2024, Page(s) 104382, ISSN 2214-8604
Éditeur: Elsevier BV
DOI: 10.1016/j.addma.2024.104382

Characterization of the Fatigue Behavior of SLS Thermoplastics

Auteurs: Zoltan Major, Michael Lackner, Anna Hössinger-Kalteis and Thomas Lück
Publié dans: Procedia Structural Integrity, Numéro 34, 2021, Page(s) 191-198, ISSN 2452-3216
Éditeur: Elsevier B.V.
DOI: 10.1016/j.prostr.2021.12.028

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