Evidence map›Paper›PMID 31212852›Full record

ArticleSensors (Basel, Switzerland)2019

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

Marco Maurizi, Janko Slavič, Filippo Cianetti, Marko Jerman, Joško Valentinčič, Andrej Lebar, Miha Boltežar

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.9field-weighted citation impact, top 4% of its field
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

16 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Closed-Loop Filament Feed Control in Fused Filament Fabrication.3D printing and additive manufacturing · 2023
    Article
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  12. Review
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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

7 authors at 2 institutions in 2 countries.

Marco MauriziDepartment of Engineering, University of Perugia, Goffredo Duranti 93, 06125 Perugia, Italy. marcomaurizi06@gmail.com.ORCID 0000-0002-4304-1000
Janko SlavičFaculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, 1000 Ljubljana, Slovenia. janko.slavic@fs.uni-lj.si.ORCID 0000-0002-5982-8377
Filippo CianettiDepartment of Engineering, University of Perugia, Goffredo Duranti 93, 06125 Perugia, Italy. filippo.cianetti@unipg.it.ORCID 0000-0002-1163-782X
Marko JermanFaculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, 1000 Ljubljana, Slovenia. marko.Jerman@fs.uni-lj.si.
Joško ValentinčičFaculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, 1000 Ljubljana, Slovenia. jv@fs.uni-lj.si.ORCID 0000-0002-4911-1196
Andrej LebarFaculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, 1000 Ljubljana, Slovenia. andrej.lebar@fs.uni-lj.si.
Miha BoltežarFaculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, 1000 Ljubljana, Slovenia. miha.boltezar@fs.uni-lj.si.
University of Ljubljana · SIUniversity of Perugia · IT

Funding

Javna Agencija za Raziskovalno Dejavnost RS P2-0263
6 · The paper itself

Abstract

3D-printing technology is opening up new possibilities for the co-printing of sensory elements. While quasi-static research has shown promise, the dynamic performance has yet to be researched. This study researched smart 3D structures with embedded and printed sensory elements. The embedded strain sensor was based on the conductive PLA (Polylactic Acid) material. The research was focused on dynamic measurements of the strain and considered the theoretical background of the piezoresistivity of conductive PLA materials, the temperature effects, the nonlinearities, the dynamic range, the electromagnetic sensitivity and the frequency range. A quasi-static calibration used in the dynamic measurements was proposed. It was shown that the temperature effects were negligible, the sensory element was linear as long as the structure had a linear response, the dynamic range started at ∼ 30 μ ϵ and broadband performance was in the range of few kHz (depending on the size of the printed sensor). The promising results support future applications of smart 3D-printed systems with embedded sensory elements being used for dynamic measurements in areas where currently piezo-crystal-based sensors are used.

Indexed as

3D-printingdynamic measurementsembedded sensorsfused deposition modelingsmart structuresstrain sensors

Identifiers

PMID31212852
PMCPMC6631479
OpenAlexW2950743161

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.