Evidence map›Paper›PMID 29048347›Full record

ArticleMaterials (Basel, Switzerland)2017

Three-Dimensional (3D) Printing of Polymer-Metal Hybrid Materials by Fused Deposition Modeling.

Susanna Fafenrot, Nils Grimmelsmann, Martin Wortmann, Andrea Ehrmann

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  16. A 3D Printer in the Lab: Not Only a Toy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    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

4 authors.

Susanna FafenrotFaculty of Engineering and Mathematics, Bielefeld University of Applied Sciences, 33619 Bielefeld, Germany. susanna.fafenrot@fh-bielefeld.de.
Nils GrimmelsmannFaculty of Engineering and Mathematics, Bielefeld University of Applied Sciences, 33619 Bielefeld, Germany. nils.grimmelsmann@fh-bielefeld.de.
Martin WortmannFaculty of Engineering and Mathematics, Bielefeld University of Applied Sciences, 33619 Bielefeld, Germany. martin.wortmann@fh-bielefeld.de.
Andrea EhrmannFaculty of Engineering and Mathematics, Bielefeld University of Applied Sciences, 33619 Bielefeld, Germany. andrea.ehrmann@fh-bielefeld.de.ORCID 0000-0003-0695-3905

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fused deposition modeling (FDM) is a three-dimensional (3D) printing technology that is usually performed with polymers that are molten in a printer nozzle and placed line by line on the printing bed or the previous layer, respectively. Nowadays, hybrid materials combining polymers with functional materials are also commercially available. Especially combinations of polymers with metal particles result in printed objects with interesting optical and mechanical properties. The mechanical properties of objects printed with two of these metal-polymer blends were compared to common poly (lactide acid) (PLA) printed objects. Tensile tests and bending tests show that hybrid materials mostly containing bronze have significantly reduced mechanical properties. Tensile strengths of the 3D-printed objects were unexpectedly nearly identical with those of the original filaments, indicating sufficient quality of the printing process. Our investigations show that while FDM printing allows for producing objects with mechanical properties similar to the original materials, metal-polymer blends cannot be used for the rapid manufacturing of objects necessitating mechanical strength.

Indexed as

3D printingFDM technologyflexural modulushybrid printing materialsmetal filamenttensile strength

Identifiers

PMID29048347
PMCPMC5667005

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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.