Evidence map›Paper›PMID 39905061›Full record

ArticleNature communications2025

In-silico platform for the multifunctional design of 3D printed conductive components.

Javier Crespo-Miguel, Sergio Lucarini, Sara Garzon-Hernandez, Angel Arias, Emilio Martínez-Pañeda, Daniel Garcia-Gonzalez

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Javier Crespo-MiguelDepartment of Continuum Mechanics and Structural Analysis, University Carlos III of Madrid, Avda. de la Universidad 30, Leganés, Madrid, Spain.ORCID http://orcid.org/0000-0001-7775-6410
Sergio LucariniBCMaterials, Basque Center for Materials, Applications and Nanostructures, UPV/EHU Science Park, Leioa, Spain.ORCID http://orcid.org/0000-0003-2790-9372
Sara Garzon-HernandezDepartment of Continuum Mechanics and Structural Analysis, University Carlos III of Madrid, Avda. de la Universidad 30, Leganés, Madrid, Spain.ORCID http://orcid.org/0000-0003-3965-4354
Angel AriasDepartment of Continuum Mechanics and Structural Analysis, University Carlos III of Madrid, Avda. de la Universidad 30, Leganés, Madrid, Spain.
Emilio Martínez-PañedaDepartment of Civil and Environmental Engineering, Imperial College of London, South Kensington Campus, London, UK.ORCID http://orcid.org/0000-0002-1562-097X
Daniel Garcia-GonzalezDepartment of Continuum Mechanics and Structural Analysis, University Carlos III of Madrid, Avda. de la Universidad 30, Leganés, Madrid, Spain. danigarc@ing.uc3m.es.ORCID http://orcid.org/0000-0003-4692-3508

Funding

Comunidad de Madrid CM 2022 - 2022-T1/IND-23971Fundación BBVA (BBVA Foundation) LEO24-1-12283-ING-ING-13
6 · The paper itself

Abstract

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.

Identifiers

PMID39905061
PMCPMC11794641

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.