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CORDIS - Forschungsergebnisse der EU
CORDIS

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

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

µ-data base with aeging without process parameters (öffnet in neuem Fenster)

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

Set of homogenised results without process parameters (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

2-scale optimisation methodology (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Homogenisation model of bulk porous material (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Printed lattice metamaterial (öffnet in neuem Fenster)

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

Publications (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Veröffentlichungen

Toward stochastic multi-scale methods in continuum solid mechanics (öffnet in neuem Fenster)

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

Adaptation and validation of FFT methods for homogenization of lattice based materials (öffnet in neuem Fenster)

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

Design method for individualised 3D printed lattice shoe midsoles (öffnet in neuem Fenster)

Autoren: Anna Hössinger-Kalteis, Michael Lackner, Zoltán Major, Fatma Karayagiz, Hans Nopper, Thomas Lück
Veröffentlicht in: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 2025, ISSN 1464-4207
Herausgeber: 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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

A computationally efficient hybrid formulation for viscoelastic–viscoplastic polymer solids and structures under large numbers of loading cycles (öffnet in neuem Fenster)

Autoren: Darith Anthony Hun, Mohamed Haddad, Issam Doghri, Georgios Tsilimidos, Michael Lackner, Zoltan Major, Leonhard Doppelbauer, Sara Haouala
Veröffentlicht in: International Journal of Solids and Structures, Ausgabe 314, 2025, Seite(n) 113290, ISSN 0020-7683
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.ijsolstr.2025.113290

An FFT framework for simulating non-local ductile failure in heterogeneous materials (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

A consistent finite-strain thermomechanical quasi-nonlinear-viscoelastic viscoplastic constitutive model for thermoplastic polymers (öffnet in neuem Fenster)

Autoren: Ujwal Kishore Jinaga, Kepa Zulueta, Aizeti Burgoa, Lucia Cobian, Ubiratan Freitas, Michael Lackner, Zoltan Major, Ludovic Noels
Veröffentlicht in: International Journal of Solids and Structures, Ausgabe 321, 2025, Seite(n) 113517, ISSN 0020-7683
Herausgeber: 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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Sensitivity study of multi-stable metamaterials applied in helmet liners (öffnet in neuem Fenster)

Autoren: A. Hössinger-Kalteis, EJ. Pitz, Z. Major
Veröffentlicht in: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications., Ausgabe 238, 2024, Seite(n) 890-900, ISSN 1464-4207
Herausgeber: Professional Engineering Publishing Ltd.
DOI: 10.1177/14644207231203482

Modeling and simulation of viscoelastic solids under large numbers of loading cycles (öffnet in neuem Fenster)

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

Effect of sample dimensions on the stiffness of PA12 Lattice materials fabricated using Powder Bed Fusion (öffnet in neuem Fenster)

Autoren: L. Cobian, E. Maire, J. Adrien, U. Freitas, J.P. Fernández-Blázquez, M.A. Monclús, J. Segurado
Veröffentlicht in: Additive Manufacturing, Ausgabe 93, 2024, Seite(n) 104382, ISSN 2214-8604
Herausgeber: Elsevier BV
DOI: 10.1016/j.addma.2024.104382

Characterization of the Fatigue Behavior of SLS Thermoplastics (öffnet in neuem Fenster)

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

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