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

Informacje na temat projektu

MOAMMM

Identyfikator umowy o grant: 862015

DOI

10.3030/862015

Projekt został zamknięty

Data podpisania przez KE 30 Sierpnia 2019

Data rozpoczęcia 1 Stycznia 2020

Data zakończenia 30 Września 2024

Finansowanie w ramach

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Koszt całkowity

€ 3 516 831,25

Wkład UE

€ 3 516 831,25

Koordynowany przez

UNIVERSITE DE LIEGE
Belgium

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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.

Publikacje

Non-peer reviewed articles (1)

Toward stochastic multi-scale methods in continuum solid mechanics

Autorzy: L. Noels
Opublikowane w: Advances in Applied Mechanics, Numer 55, 2022, ISSN 0065-2156
Wydawca: 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

Autorzy: S. Lucarini, L. Cobian, A. Voitus, J. Segurado
Opublikowane w: Computer Methods in Applied Mechanics and Engineering, Numer 388, 2022, Strona(/y) 114223, ISSN 0045-7825
Wydawca: Elsevier BV
DOI: 10.1016/j.cma.2021.114223

Design method for individualised 3D printed lattice shoe midsoles

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

Autorzy: Ling Wu, Ludovic Noels
Opublikowane w: Computer Methods in Applied Mechanics and Engineering, Numer 390, 2022, Strona(/y) 114476, ISSN 0045-7825
Wydawca: 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

Autorzy: Ling Wu, Cyrielle Anglade, Lucia Cobian, Miguel Monclus, Javier Segurado, Fatma Karayagiz, Ubiratan Freitas, Ludovic Noels.
Opublikowane w: International Journal of Solids and Structures, Numer 283, 2023, Strona(/y) 112470, ISSN 0020-7683
Wydawca: 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

Autorzy: Mohame Haddad, IssamDoghri, OlivierPierard
Opublikowane w: International Journal of Solids and Structures, Numer 236-237, 2022, Strona(/y) 111354, ISSN 0020-7683
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.ijsolstr.2021.111354

FFT based approaches in micromechanics: fundamentals, methods and applications

Autorzy: S Lucarini, M V Upadhyay and J Segurado
Opublikowane w: Modelling and Simulation in Materials Science and Engineering, Numer 30, 2022, Strona(/y) 023002, ISSN 0965-0393
Wydawca: 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

Autorzy: Soumianarayanan Vijayaraghavan, Ling Wu, Ludovic Noels, Stéphane P. A. Bordas, Sundar Natarajan & Lars A. A. Beex
Opublikowane w: Scientific Reports, Numer 13, 2023, Strona(/y) 12781, ISSN 2045-2322
Wydawca: Nature Publishing Group
DOI: 10.1038/s41598-023-38104-x

Particle size effects in ductile composites: An FFT homogenization study

Autorzy: Marco Magri, Laurent Adam, Javier Segurado
Opublikowane w: Journal of the Mechanics and Physics of Solids, Numer 160, 2022, Strona(/y) 104759, ISSN 0022-5096
Wydawca: 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

Autorzy: Darith Anthony Hun, Mohamed Haddad, Issam Doghri, Georgios Tsilimidos, Michael Lackner, Zoltan Major, Leonhard Doppelbauer, Sara Haouala
Opublikowane w: International Journal of Solids and Structures, Numer 314, 2025, Strona(/y) 113290, ISSN 0020-7683
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.ijsolstr.2025.113290

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

Autorzy: M. Magri, S. Lucarini, G. Lemoine, L. Adam, J. Segurado
Opublikowane w: Computer Methods in Applied Mechanics and Engineering, Numer 380, 2021, Strona(/y) 113759, ISSN 0045-7825
Wydawca: 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

Autorzy: Ling Wu, Mohib Mustafa, Javier Segurado, Ludovic Noels
Opublikowane w: Computer Methods in Applied Mechanics and Engineering, Numer 407, 2023, Strona(/y) 115931, ISSN 0045-7825
Wydawca: 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

Autorzy: Ling Wu, Van Dung Nguyen, Nanda Gopala Kilingar, Ludovic Noels
Opublikowane w: Computer Methods in Applied Mechanics and Engineering, Numer 369, 2020, Strona(/y) 113234, ISSN 0045-7825
Wydawca: Elsevier BV
DOI: 10.1016/j.cma.2020.113234

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

Autorzy: Ujwal Kishore Jinaga, Kepa Zulueta, Aizeti Burgoa, Lucia Cobian, Ubiratan Freitas, Michael Lackner, Zoltan Major, Ludovic Noels
Opublikowane w: International Journal of Solids and Structures, Numer 321, 2025, Strona(/y) 113517, ISSN 0020-7683
Wydawca: 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

Autorzy: L. Cobian, M. Rueda-Ruiz, J.P. Fernandez-Blazquez, V. Martinez, F. Galvez, F. Karayagiz, T. Lück, J. Segurado, M.A. Monclus
Opublikowane w: Polymer Testing, Numer 110, 2022, Strona(/y) 107556, ISSN 0142-9418
Wydawca: Elsevier BV
DOI: 10.1016/j.polymertesting.2022.107556

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

Autorzy: R. Sancho, V. Rey-de-Pedraza, P. Lafourcade, R.A. Lebensohn, J. Segurado
Opublikowane w: Computer Methods in Applied Mechanics and Engineering, Numer 404, 2023, Strona(/y) 115772, ISSN 0045-7825
Wydawca: Elsevier BV
DOI: 10.1016/j.cma.2022.115772

Sensitivity study of multi-stable metamaterials applied in helmet liners

Autorzy: A. Hössinger-Kalteis, EJ. Pitz, Z. Major
Opublikowane w: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications., Numer 238, 2024, Strona(/y) 890-900, ISSN 1464-4207
Wydawca: Professional Engineering Publishing Ltd.
DOI: 10.1177/14644207231203482

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

Autorzy: Darith Anthony Hun, Mohamed Haddad & Issam Doghri
Opublikowane w: Mechanics of Advanced Materials and Structures, 2022, ISSN 1537-6494
Wydawca: Taylor & Francis
DOI: 10.1080/15376494.2022.2037170

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

Autorzy: L. Cobian, E. Maire, J. Adrien, U. Freitas, J.P. Fernández-Blázquez, M.A. Monclús, J. Segurado
Opublikowane w: Additive Manufacturing, Numer 93, 2024, Strona(/y) 104382, ISSN 2214-8604
Wydawca: Elsevier BV
DOI: 10.1016/j.addma.2024.104382

Conference proceedings (1)

Characterization of the Fatigue Behavior of SLS Thermoplastics

Autorzy: Zoltan Major, Michael Lackner, Anna Hössinger-Kalteis and Thomas Lück
Opublikowane w: Procedia Structural Integrity, Numer 34, 2021, Strona(/y) 191-198, ISSN 2452-3216
Wydawca: Elsevier B.V.
DOI: 10.1016/j.prostr.2021.12.028