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

Projektinformationen

MOAMMM

ID Finanzhilfevereinbarung: 862015

DOI 10.3030/862015

EK-Unterschriftsdatum 30 August 2019

Startdatum 1 Januar 2020

Enddatum 30 September 2024

Finanziert unter

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Gesamtkosten € 3 516 831,25

EU-Beitrag € 3 516 831,25

Koordiniert durch

UNIVERSITE DE LIEGE
Belgium

Leistungen

Other (4)

Cell design of lattice metamaterial

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

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

Demonstrators, pilots, prototypes (2)

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

Open Research Data Pilot (1)

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

Websites, patent fillings, videos etc. (1)

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.

Veröffentlichungen

Non-peer reviewed articles (1)

Toward stochastic multi-scale methods in continuum solid mechanics

Autoren: L. Noels
Veröffentlicht in: Advances in Applied Mechanics, Ausgabe 55, 2022, ISSN 0065-2156
Herausgeber: Academic Press
DOI: 10.1016/bs.aams.2022.03.001

Peer reviewed articles (13)

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

Autoren: S. Lucarini, L. Cobian, A. Voitus, J. Segurado
Veröffentlicht in: Computer Methods in Applied Mechanics and Engineering, Ausgabe 388, 2022, Seite(n) 114223, ISSN 0045-7825
Herausgeber: Elsevier BV
DOI: 10.1016/j.cma.2021.114223

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

Autoren: Ling Wu, Ludovic Noels
Veröffentlicht in: Computer Methods in Applied Mechanics and Engineering, Ausgabe 390, 2022, Seite(n) 114476, ISSN 0045-7825
Herausgeber: 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

Autoren: Ling Wu, Cyrielle Anglade, Lucia Cobian, Miguel Monclus, Javier Segurado, Fatma Karayagiz, Ubiratan Freitas, Ludovic Noels.
Veröffentlicht in: International Journal of Solids and Structures, Ausgabe 283, 2023, Seite(n) 112470, ISSN 0020-7683
Herausgeber: 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

Autoren: Mohame Haddad, IssamDoghri, OlivierPierard
Veröffentlicht in: International Journal of Solids and Structures, Ausgabe 236-237, 2022, Seite(n) 111354, ISSN 0020-7683
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.ijsolstr.2021.111354

FFT based approaches in micromechanics: fundamentals, methods and applications

Autoren: S Lucarini, M V Upadhyay and J Segurado
Veröffentlicht in: Modelling and Simulation in Materials Science and Engineering, Ausgabe 30, 2022, Seite(n) 023002, ISSN 0965-0393
Herausgeber: 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

Autoren: Soumianarayanan Vijayaraghavan, Ling Wu, Ludovic Noels, Stéphane P. A. Bordas, Sundar Natarajan & Lars A. A. Beex
Veröffentlicht in: Scientific Reports, Ausgabe 13, 2023, Seite(n) 12781, ISSN 2045-2322
Herausgeber: Nature Publishing Group
DOI: 10.1038/s41598-023-38104-x

Particle size effects in ductile composites: An FFT homogenization study

Autoren: Marco Magri, Laurent Adam, Javier Segurado
Veröffentlicht in: Journal of the Mechanics and Physics of Solids, Ausgabe 160, 2022, Seite(n) 104759, ISSN 0022-5096
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.jmps.2021.104759

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

Autoren: M. Magri, S. Lucarini, G. Lemoine, L. Adam, J. Segurado
Veröffentlicht in: Computer Methods in Applied Mechanics and Engineering, Ausgabe 380, 2021, Seite(n) 113759, ISSN 0045-7825
Herausgeber: 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

Autoren: Ling Wu, Mohib Mustafa, Javier Segurado, Ludovic Noels
Veröffentlicht in: Computer Methods in Applied Mechanics and Engineering, Ausgabe 407, 2023, Seite(n) 115931, ISSN 0045-7825
Herausgeber: 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

Autoren: Ling Wu, Van Dung Nguyen, Nanda Gopala Kilingar, Ludovic Noels
Veröffentlicht in: Computer Methods in Applied Mechanics and Engineering, Ausgabe 369, 2020, Seite(n) 113234, ISSN 0045-7825
Herausgeber: 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

Autoren: L. Cobian, M. Rueda-Ruiz, J.P. Fernandez-Blazquez, V. Martinez, F. Galvez, F. Karayagiz, T. Lück, J. Segurado, M.A. Monclus
Veröffentlicht in: Polymer Testing, Ausgabe 110, 2022, Seite(n) 107556, ISSN 0142-9418
Herausgeber: Elsevier BV
DOI: 10.1016/j.polymertesting.2022.107556

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

Autoren: R. Sancho, V. Rey-de-Pedraza, P. Lafourcade, R.A. Lebensohn, J. Segurado
Veröffentlicht in: Computer Methods in Applied Mechanics and Engineering, Ausgabe 404, 2023, Seite(n) 115772, ISSN 0045-7825
Herausgeber: Elsevier BV
DOI: 10.1016/j.cma.2022.115772

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

Autoren: Darith Anthony Hun, Mohamed Haddad & Issam Doghri
Veröffentlicht in: Mechanics of Advanced Materials and Structures, 2022, ISSN 1537-6494
Herausgeber: Taylor & Francis
DOI: 10.1080/15376494.2022.2037170

Conference proceedings (1)

Characterization of the Fatigue Behavior of SLS Thermoplastics

Autoren: Zoltan Major, Michael Lackner, Anna Hössinger-Kalteis and Thomas Lück
Veröffentlicht in: Procedia Structural Integrity, Ausgabe 34, 2021, Seite(n) 191-198, ISSN 2452-3216
Herausgeber: Elsevier B.V.
DOI: 10.1016/j.prostr.2021.12.028