Evidence map›Paper›PMID 34073573›Full record

ArticleSensors (Basel, Switzerland)2021

Modelling of Anisotropic Electrical Conduction in Layered Structures 3D-Printed with Fused Deposition Modelling.

Alexander Dijkshoorn, Martijn Schouten, Stefano Stramigioli, Gijs Krijnen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

4 authors.

Alexander DijkshoornRobotics and Mechatronics Group (RAM), University of Twente, 7500 AE Enschede, The Netherlands.ORCID 0000-0001-5041-5552
Martijn SchoutenRobotics and Mechatronics Group (RAM), University of Twente, 7500 AE Enschede, The Netherlands.ORCID 0000-0001-9774-1195
Stefano StramigioliRobotics and Mechatronics Group (RAM), University of Twente, 7500 AE Enschede, The Netherlands.ORCID 0000-0001-8212-7387
Gijs KrijnenRobotics and Mechatronics Group (RAM), University of Twente, 7500 AE Enschede, The Netherlands.ORCID 0000-0001-9537-7123

Funding

European Research Council 787675Nederlandse Organisatie voor Wetenschappelijk Onderzoek Perspectief Programma: Wearable Robotics project
6 · The paper itself

Abstract

3D-printing conductive structures have recently been receiving increased attention, especially in the field of 3D-printed sensors. However, the printing processes introduce anisotropic electrical properties due to the infill and bonding conditions. Insights into the electrical conduction that results from the anisotropic electrical properties are currently limited. Therefore, this research focuses on analytically modeling the electrical conduction. The electrical properties are described as an electrical network with bulk and contact properties in and between neighbouring printed track elements or traxels. The model studies both meandering and open-ended traxels through the application of the corresponding boundary conditions. The model equations are solved as an eigenvalue problem, yielding the voltage, current density, and power dissipation density for every position in every traxel. A simplified analytical example and Finite Element Method simulations verify the model, which depict good correspondence. The main errors found are due to the limitations of the model with regards to 2D-conduction in traxels and neglecting the resistance of meandering ends. Three dimensionless numbers are introduced for the verification and analysis: the anisotropy ratio, the aspect ratio, and the number of traxels. Conductive behavior between completely isotropic and completely anisotropic can be modeled, depending on the dimensionless properties. Furthermore, this model can be used to explain the properties of certain 3D-printed sensor structures, like constriction-resistive strain sensors.

Indexed as

3D printinganisotropyelectrical resistivityfused deposition modelingtrack-elements, 3D-printed sensors

Identifiers

PMID34073573
PMCPMC8199486

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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.