Novel Resistive Sensor Design Utilizing the Geometric Freedom of Additive Manufacturing

Watschke, Hagen; Goutier, Marijn; Heubach, Julius; Vietor, Thomas; Leichsenring, Kay; Böl, Markus

doi:10.3390/app11010113

Cited by 20 publications

(16 citation statements)

References 37 publications

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“…This changes the inter-traxel resistance (the constriction resistance) upon which the total resistance changes significantly, since the conduction changes from bulk conduction to traxel conduction. This concept is also referred to as resistive path adjustment, where it is used for a 3D-printed sensor that measures the compressive load [ 49 ]. The constriction-resistive strain sensors formulated by Mousavi et al, are used as a showcase for the model, since the model can describe it properly with the meanders and contact resistance.…”

Section: Resultsmentioning

confidence: 99%

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

Dijkshoorn

Schouten

Krijnen

2021

Sensors

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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.

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Section: Resultsmentioning

confidence: 99%

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

Dijkshoorn

Schouten

Krijnen

2021

Sensors

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“…However, most recent studies have focussed on how to exploit the material capabilities in the use of AM technologies. Li et al (2021) studied the material growth pattern using a force flow technique, Kuschmitz et al (2021) utilised a machine learning approach to compute acoustic material parameters (Biot parameters) from the material’s micro-scale geometry and the application of multi-material capabilities of AM to the development of elastomers and electrically conductive polymers (Watschke et al , 2021). Future work should focus on how to control anisotropy through process planning to achieve dual control of material geometry and performance.…”

Section: Discussion and Areas Of Future Researchmentioning

confidence: 99%

A bibliometric analysis of research in design for additive manufacturing

Ugonna

Pradel

Sinclair

et al. 2022

RPJ

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Purpose The purpose of this paper is to understand how Design for Additive manufacturing Knowledge has been developing and its significance to both academia and industry. Design/methodology/approach In this paper, the authors use a bibliometric approach to analyse publications from January 2010 to December 2020 to explore the subject areas, publication outlets, most active authors, geographical distribution of scholarly outputs, collaboration and co-citations at both institutional and geographical levels and outcomes from keywords analysis. Findings The findings reveal that most knowledge has been developed in DfAM methods, rules and guidelines. This may suggest that designers are trying to learn new ways of harnessing the freedom offered by AM. Furthermore, more knowledge is needed to understand how to tackle the inherent limitations of AM processes. Moreover, DfAM knowledge has thus far been developed mostly by authors in a small number of institutional and geographical clusters, potentially limiting diverse perspectives and synergies from international collaboration which are essential for global knowledge development, for improvement of the quality of DfAM research and for its wider dissemination. Originality/value A concise structure of DfAM knowledge areas upon which the bibliometric analysis was conducted has been developed. Furthermore, areas where research is concentrated and those that require further knowledge development are revealed.

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“…The application of additive manufacturing in various sectors mainly depends on the intrinsic advantages of such technology. In fact, additive manufacturing offers the possibility to create very complex geometry parts, sometimes not doable with conventional production techniques, or the possibility to print smart materials thus creating smart structures, 3D printed sensors and MEMS [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 ]. In addition to such advantages in terms of geometry freedom and application, the constant growing of this technology is also due to the production costs that are considerably reduced and the dwindled manufacturing wastes [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

Vibration Fatigue of FDM 3D Printed Structures: The Use of Frequency Domain Approach

et al. 2022

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Additive manufactured structures are replacing the corresponding ones realized with classical manufacturing technique. As for metallic structures, 3D printed components are generally subjected to dynamic loading conditions which can lead to fatigue failure. In this context, it is useful, and sometimes mandatory, to determine the fatigue life of such components through numerical simulation. The methods currently available in literature for the estimation of fatigue life were originally developed for metallic structures and, therefore, it is now necessary to verify their applicability also for components fabricated with different materials. To this end, in the current activity three of the most used spectral methods for the estimation of fatigue life were used to determine the fatigue life of a 3D printed Y-shaped specimen realized in polylactic acid subjected to random loads with the aim of determining their adaptability also for this kind of materials. To certify the accuracy of the numerical prediction, a set of experimental tests were conducted in order to obtain the real fatigue life of the component and to compare the experimental results with those numerically obtained. The obtained outcomes showed there is an excellent match between the numerical and the experimental data, thus certifying the possibility of using the investigated spectral methods to predict the fatigue life of additive manufactured components.

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Novel Resistive Sensor Design Utilizing the Geometric Freedom of Additive Manufacturing

Cited by 20 publications

References 37 publications

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

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

A bibliometric analysis of research in design for additive manufacturing

Vibration Fatigue of FDM 3D Printed Structures: The Use of Frequency Domain Approach

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