Evidence map›Paper›PMID 31261607›Full record

ReviewPolymers2019

FDM 3D Printing of Polymers Containing Natural Fillers: A Review of their Mechanical Properties.

Valentina Mazzanti, Lorenzo Malagutti, Francesco Mollica

Abstract readReview
In one paragraph

Review in Polymers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers.

0numbers the graph read from it
0cells of the map it votes in
149citing 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

149 citing papers in PubMed.

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  13. New Frontiers in 3D Printing Using Biocompatible Polymers.International journal of molecular sciences · 2025
    Review
  14. Review
  15. Article
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89 more citing papers are in PubMed but not listed here.

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

3 authors.

Valentina MazzantiDepartment of Engineering, Università degli Studi di Ferrara, via Saragat 1, Ferrara 44122, Italy.
Lorenzo MalaguttiDepartment of Engineering, Università degli Studi di Ferrara, via Saragat 1, Ferrara 44122, Italy.
Francesco MollicaDepartment of Engineering, Università degli Studi di Ferrara, via Saragat 1, Ferrara 44122, Italy. francesco.mollica@unife.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As biodegradable thermoplastics are more and more penetrating the market of filaments for fused deposition modeling (FDM) 3D printing, fillers in the form of natural fibers are convenient: They have the clear advantage of reducing cost, yet retaining the filament biodegradability characteristics. In plastics that are processed through standard techniques (e.g., extrusion or injection molding), natural fibers have a mild reinforcing function, improving stiffness and strength, it is thus interesting to evaluate whether the same holds true also in the case of FDM produced components. The results analyzed in this review show that the mechanical properties of the most common materials, i.e., acrylonitrile-butadiene-styrene (ABS) and PLA, do not benefit from biofillers, while other less widely used polymers, such as the polyolefins, are found to become more performant. Much research has been devoted to studying the effect of additive formulation and processing parameters on the mechanical properties of biofilled 3D printed specimens. The results look promising due to the relevant number of articles published in this field in the last few years. This notwithstanding, not all aspects have been explored and more could potentially be obtained through modifications of the usual FDM techniques and the devices that have been used so far.

Indexed as

3D printingbiocompositesfused deposition modelingmechanical propertiesnatural fibers

Identifiers

PMID31261607
PMCPMC6680682

What OpenQuestion holds

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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.