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

Informazioni relative al progetto

MOAMMM

ID dell’accordo di sovvenzione: 862015

DOI

10.3030/862015

Progetto chiuso

Data della firma CE 30 Agosto 2019

Data di avvio 1 Gennaio 2020

Data di completamento 30 Settembre 2024

Finanziato da

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Costo totale

€ 3 516 831,25

Contributo UE

€ 3 516 831,25

Coordinato da

UNIVERSITE DE LIEGE
Belgium

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Open Research Data Pilot (5)

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.

Other (8)

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

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

Documents, reports (1)

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.

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.

Pubblicazioni

Non-peer reviewed articles (1)

Toward stochastic multi-scale methods in continuum solid mechanics

Autori: L. Noels
Pubblicato in: Advances in Applied Mechanics, Numero 55, 2022, ISSN 0065-2156
Editore: Academic Press
DOI: 10.1016/bs.aams.2022.03.001

Peer reviewed articles (18)

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

Autori: S. Lucarini, L. Cobian, A. Voitus, J. Segurado
Pubblicato in: Computer Methods in Applied Mechanics and Engineering, Numero 388, 2022, Pagina/e 114223, ISSN 0045-7825
Editore: Elsevier BV
DOI: 10.1016/j.cma.2021.114223

Design method for individualised 3D printed lattice shoe midsoles

Autori: Anna Hössinger-Kalteis, Michael Lackner, Zoltán Major, Fatma Karayagiz, Hans Nopper, Thomas Lück
Pubblicato in: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 2025, ISSN 1464-4207
Editore: 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

Autori: Ling Wu, Ludovic Noels
Pubblicato in: Computer Methods in Applied Mechanics and Engineering, Numero 390, 2022, Pagina/e 114476, ISSN 0045-7825
Editore: 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

Autori: Ling Wu, Cyrielle Anglade, Lucia Cobian, Miguel Monclus, Javier Segurado, Fatma Karayagiz, Ubiratan Freitas, Ludovic Noels.
Pubblicato in: International Journal of Solids and Structures, Numero 283, 2023, Pagina/e 112470, ISSN 0020-7683
Editore: 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

Autori: Mohame Haddad, IssamDoghri, OlivierPierard
Pubblicato in: International Journal of Solids and Structures, Numero 236-237, 2022, Pagina/e 111354, ISSN 0020-7683
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.ijsolstr.2021.111354

FFT based approaches in micromechanics: fundamentals, methods and applications

Autori: S Lucarini, M V Upadhyay and J Segurado
Pubblicato in: Modelling and Simulation in Materials Science and Engineering, Numero 30, 2022, Pagina/e 023002, ISSN 0965-0393
Editore: 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

Autori: Soumianarayanan Vijayaraghavan, Ling Wu, Ludovic Noels, Stéphane P. A. Bordas, Sundar Natarajan & Lars A. A. Beex
Pubblicato in: Scientific Reports, Numero 13, 2023, Pagina/e 12781, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-023-38104-x

Particle size effects in ductile composites: An FFT homogenization study

Autori: Marco Magri, Laurent Adam, Javier Segurado
Pubblicato in: Journal of the Mechanics and Physics of Solids, Numero 160, 2022, Pagina/e 104759, ISSN 0022-5096
Editore: 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

Autori: Darith Anthony Hun, Mohamed Haddad, Issam Doghri, Georgios Tsilimidos, Michael Lackner, Zoltan Major, Leonhard Doppelbauer, Sara Haouala
Pubblicato in: International Journal of Solids and Structures, Numero 314, 2025, Pagina/e 113290, ISSN 0020-7683
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.ijsolstr.2025.113290

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

Autori: M. Magri, S. Lucarini, G. Lemoine, L. Adam, J. Segurado
Pubblicato in: Computer Methods in Applied Mechanics and Engineering, Numero 380, 2021, Pagina/e 113759, ISSN 0045-7825
Editore: 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

Autori: Ling Wu, Mohib Mustafa, Javier Segurado, Ludovic Noels
Pubblicato in: Computer Methods in Applied Mechanics and Engineering, Numero 407, 2023, Pagina/e 115931, ISSN 0045-7825
Editore: 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

Autori: Ling Wu, Van Dung Nguyen, Nanda Gopala Kilingar, Ludovic Noels
Pubblicato in: Computer Methods in Applied Mechanics and Engineering, Numero 369, 2020, Pagina/e 113234, ISSN 0045-7825
Editore: Elsevier BV
DOI: 10.1016/j.cma.2020.113234

A consistent finite-strain thermomechanical quasi-nonlinear-viscoelastic viscoplastic constitutive model for thermoplastic polymers

Autori: Ujwal Kishore Jinaga, Kepa Zulueta, Aizeti Burgoa, Lucia Cobian, Ubiratan Freitas, Michael Lackner, Zoltan Major, Ludovic Noels
Pubblicato in: International Journal of Solids and Structures, Numero 321, 2025, Pagina/e 113517, ISSN 0020-7683
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.ijsolstr.2025.113517

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

Autori: L. Cobian, M. Rueda-Ruiz, J.P. Fernandez-Blazquez, V. Martinez, F. Galvez, F. Karayagiz, T. Lück, J. Segurado, M.A. Monclus
Pubblicato in: Polymer Testing, Numero 110, 2022, Pagina/e 107556, ISSN 0142-9418
Editore: Elsevier BV
DOI: 10.1016/j.polymertesting.2022.107556

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

Autori: R. Sancho, V. Rey-de-Pedraza, P. Lafourcade, R.A. Lebensohn, J. Segurado
Pubblicato in: Computer Methods in Applied Mechanics and Engineering, Numero 404, 2023, Pagina/e 115772, ISSN 0045-7825
Editore: Elsevier BV
DOI: 10.1016/j.cma.2022.115772

Sensitivity study of multi-stable metamaterials applied in helmet liners

Autori: A. Hössinger-Kalteis, EJ. Pitz, Z. Major
Pubblicato in: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications., Numero 238, 2024, Pagina/e 890-900, ISSN 1464-4207
Editore: Professional Engineering Publishing Ltd.
DOI: 10.1177/14644207231203482

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

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

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

Autori: L. Cobian, E. Maire, J. Adrien, U. Freitas, J.P. Fernández-Blázquez, M.A. Monclús, J. Segurado
Pubblicato in: Additive Manufacturing, Numero 93, 2024, Pagina/e 104382, ISSN 2214-8604
Editore: Elsevier BV
DOI: 10.1016/j.addma.2024.104382

Conference proceedings (1)

Characterization of the Fatigue Behavior of SLS Thermoplastics

Autori: Zoltan Major, Michael Lackner, Anna Hössinger-Kalteis and Thomas Lück
Pubblicato in: Procedia Structural Integrity, Numero 34, 2021, Pagina/e 191-198, ISSN 2452-3216
Editore: Elsevier B.V.
DOI: 10.1016/j.prostr.2021.12.028