Evidence map›Paper›PMID 36295959›Full record

ArticleMicromachines2022

Extrusion-Based 3D Printing of Stretchable Electronic Coating for Condition Monitoring of Suction Cups.

Van-Cuong Nguyen, Minh-Quyen Le, Jean-François Mogniotte, Jean-Fabien Capsal, Pierre-Jean Cottinet

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Molten-State Dielectrophoretic Alignment of EVA/BaTiOInternational journal of molecular sciences · 2022
    Article
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

5 authors.

Van-Cuong NguyenLaboratoire de Génie Electrique et Ferroélectricité, Institut National des Sciences Appliquées, Université de Lyon, 69621 Villeurbanne, France 2 Hybria Institute of Business and Technologies, Écully Campus, 69130 Écully, France.
Minh-Quyen LeLaboratoire de Génie Electrique et Ferroélectricité, Institut National des Sciences Appliquées, Université de Lyon, 69621 Villeurbanne, France 2 Hybria Institute of Business and Technologies, Écully Campus, 69130 Écully, France.ORCID 0000-0001-5907-159X
Jean-François MogniotteLaboratoire de Génie Electrique et Ferroélectricité, Institut National des Sciences Appliquées, Université de Lyon, 69621 Villeurbanne, France 2 Hybria Institute of Business and Technologies, Écully Campus, 69130 Écully, France.
Jean-Fabien CapsalLaboratoire de Génie Electrique et Ferroélectricité, Institut National des Sciences Appliquées, Université de Lyon, 69621 Villeurbanne, France 2 Hybria Institute of Business and Technologies, Écully Campus, 69130 Écully, France.
Pierre-Jean CottinetLaboratoire de Génie Electrique et Ferroélectricité, Institut National des Sciences Appliquées, Université de Lyon, 69621 Villeurbanne, France 2 Hybria Institute of Business and Technologies, Écully Campus, 69130 Écully, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Suction cups (SCs) are used extensively by the industrial sector, particularly for a wide variety of automated material-handling applications. To enhance productivity and reduce maintenance costs, an online supervision system is essential to check the status of SCs. This paper thus proposes an innovative method for condition monitoring of SCs coated with printed electronics whose electrical resistance is supposed to be correlated with the mechanical strain. A simulation model is first examined to observe the deformation of SCs under vacuum compression, which is needed for the development of sensor coating thanks to the 3D printing process. The proposed design involves three circle-shaped sensors, two for the top and bottom bellows (whose mechanical strains are revealed to be the most significant), and one for the lip (small strain, but important stress that might provoke wear and tear in the long term). For the sake of simplicity, practical measurement is performed on 2D samples coated with two different conductive inks subjected to unidirectional tensile loading. Graphical representations together with analytical models of both linear and nonlinear piezoresistive responses allows for the characterization of the inks' behavior under several conditions of displacement and speed inputs. After a comparison of the two inks, the most appropriate is selected as a consequence of its excellent adhesion and stretchability, which are essential criteria to meet the target field. Room temperature extrusion-based 3D printing is then investigated using a motorized 3D Hyrel printer with a syringe-extrusion modular system. Design optimization is finally carried out to enhance the surface detection of sensitive elements while minimizing the effect of electrodes. Although several issues still need to be further considered to match specifications imposed by our industrial partner, the achievement of this work is meaningful and could pave the way for a new generation of SCs integrated with smart sensing devices. The 3D printing of conductive ink directly on the cup's curving surface is a true challenge, which has been demonstrated, for the first time, to be technically feasible throughout the additive manufacturing (AM) process.

Indexed as

3D printing additive manufacturingcondition monitoringconductive coatingdesign optimizationink characterizationpiezoresistive sensorprinted electronics

Identifiers

PMID36295959
PMCPMC9610803

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.