In-silico platform for the multifunctional design of 3D printed conductive components
The effective electric resistivity of conductive thermoplastics manufactured by filament extrusion methods is determined by both the material constituents and the printing parameters. The former determines the multifunctional nature of the composite, whereas the latter dictates the mesostructural characteristics such as filament adhesion and void distribution. This work provides a multi-scale computational framework to evaluate the thermo-electro-mechanical behaviour of printed conductive polymers. A full-field homogenisation model first provides the influence of material and mesostructural features (i.e., filament orientations, voids and adhesion between filaments). Then, a macroscopic continuum model elucidates the effects of thermo-electro-mechanical mixed boundary conditions. The in-silico multi-scale methodology is validated with extensive original multi-physical experiments and a functional application consisting of an electro-heatable printing cartridge. Overall, this work establishes the foundations to virtually break the gap between mesoscopic and macroscopic multifunctional responses in conductive components manufactured by additive manufacturing techniques.
Authors
- Emilio Martínez‐Pañeda (ORCID: https://orcid.org/0000-0002-1562-097X)
- S. Lucarini (ORCID: https://orcid.org/0000-0003-2790-9372)
- S. Garzon-Hernandez (ORCID: https://orcid.org/0000-0003-3965-4354)
- Javier Crespo‐Miguel (ORCID: https://orcid.org/0000-0001-7775-6410)
- A. Árias (ORCID: https://orcid.org/0000-0003-4696-7754)
- Daniel Garcia‐Gonzalez (ORCID: https://orcid.org/0000-0003-4692-3508)
Institutions
- Ikerbasque (ES)
- Basque Center for Materials, Applications and Nanostructures (ES)
- University of Oxford (GB)
- Imperial College London (GB)
- Universidad Carlos III de Madrid (ES)
Publication Details
- Journal
- Nature Communications
- Published
- 2025-02-04
- DOI
- https://doi.org/10.1038/s41467-025-56707-y
- Citations
- 3
- Primary Topic
- Additive Manufacturing and 3D Printing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 2.05
Funders
- Fundación BBVA
- Comunidad de Madrid
- UK Research and Innovation
- European Commission
- Banco Bilbao Vizcaya Argentaria
- Agencia Estatal de Investigación