Literature DB >> 34073573

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

Alexander Dijkshoorn1, Martijn Schouten1, Stefano Stramigioli1,2, Gijs Krijnen1.   

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.

Entities:  

Keywords:  3D printing; anisotropy; electrical resistivity; fused deposition modeling; track-elements, 3D-printed sensors

Year:  2021        PMID: 34073573     DOI: 10.3390/s21113710

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  7 in total

1.  Ultra-sensitive and resilient compliant strain gauges for soft machines.

Authors:  Oluwaseun A Araromi; Moritz A Graule; Kristen L Dorsey; Sam Castellanos; Jonathan R Foster; Wen-Hao Hsu; Arthur E Passy; Joost J Vlassak; James C Weaver; Conor J Walsh; Robert J Wood
Journal:  Nature       Date:  2020-11-11       Impact factor: 49.962

2.  Soft Actuators with Stiffness and Shape Modulation Using 3D-Printed Conductive Polylactic Acid Material.

Authors:  Mohammed Al-Rubaiai; Thassyo Pinto; Chunqi Qian; Xiaobo Tan
Journal:  Soft Robot       Date:  2019-03-11       Impact factor: 8.071

Review 3.  Additive-manufactured (3D-printed) electrochemical sensors: A critical review.

Authors:  Rafael M Cardoso; Cristiane Kalinke; Raquel G Rocha; Pãmyla L Dos Santos; Diego P Rocha; Paulo R Oliveira; Bruno C Janegitz; Juliano A Bonacin; Eduardo M Richter; Rodrigo A A Munoz
Journal:  Anal Chim Acta       Date:  2020-03-17       Impact factor: 6.558

4.  Direct 3D Printing of Highly Anisotropic, Flexible, Constriction-Resistive Sensors for Multidirectional Proprioception in Soft Robots.

Authors:  Saeb Mousavi; David Howard; Fenghua Zhang; Jinsong Leng; Chun H Wang
Journal:  ACS Appl Mater Interfaces       Date:  2020-03-18       Impact factor: 9.229

5.  Integrated 3D printed heaters for microfluidic applications: Ammonium analysis within environmental water.

Authors:  Elisenda Fornells; Eoin Murray; Sidra Waheed; Aoife Morrin; Dermot Diamond; Brett Paull; Michael Breadmore
Journal:  Anal Chim Acta       Date:  2019-11-13       Impact factor: 6.558

6.  Dynamic Measurements Using FDM 3D-Printed Embedded Strain Sensors.

Authors:  Marco Maurizi; Janko Slavič; Filippo Cianetti; Marko Jerman; Joško Valentinčič; Andrej Lebar; Miha Boltežar
Journal:  Sensors (Basel)       Date:  2019-06-12       Impact factor: 3.576

7.  Realization of a thermal cloak-concentrator using a metamaterial transformer.

Authors:  Ding-Peng Liu; Po-Jung Chen; Hsin-Haou Huang
Journal:  Sci Rep       Date:  2018-02-06       Impact factor: 4.379

  7 in total

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