Evidence map›Paper›PMID 32121391›Full record

ArticleMaterials (Basel, Switzerland)2020

Design and Mechanical Characterization of Voronoi Structures Manufactured by Indirect Additive Manufacturing.

Daniele Almonti, Gabriele Baiocco, Vincenzo Tagliaferri, Nadia Ucciardello

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. [A simulation study on the differences in compressive mechanical properties of Voronoi porous structures with two strut-diameter morphologies].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
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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.

Daniele AlmontiDipartimento di Ingegneria dell'Impresa "Mario Lucertini", Università di Roma "Tor Vergata", Via del Politecnico 1, 00133 Rome, Italy.
Gabriele BaioccoDipartimento di Ingegneria, Università degli Studi Roma Tre, Via Vito Volterra 62, 00146 Rome, Italy.
Vincenzo TagliaferriDipartimento di Ingegneria dell'Impresa "Mario Lucertini", Università di Roma "Tor Vergata", Via del Politecnico 1, 00133 Rome, Italy.
Nadia UcciardelloDipartimento di Ingegneria dell'Impresa "Mario Lucertini", Università di Roma "Tor Vergata", Via del Politecnico 1, 00133 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Additive manufacturing (AM) is a production process for the fabrication of three-dimensional items characterized by complex geometries. Several technologies employ a localized melting of metal dust through the application of focused energy sources, such as lasers or electron beams, on a powder bed. Despite the high potential of AM, numerous burdens afflict this production technology; for example, the few materials available, thermal stress due to the focused thermal source, low surface finishing, anisotropic properties, and the high cost of raw materials and the manufacturing process. In this paper, the combination by AM of meltable resins with metal casting for an indirect additive manufacturing (I-AM) is proposed. The process is applied to the production of open cells metal foams, similar in shape to the products available in commerce. However, their cellular structure features were designed and optimized by graphical editor Grasshopper®. The metal foams produced by AM were cast with a lost wax process and compared with commercial metal foams by means of compression tests.

Indexed as

additive manufacturingcompression testmetal foamopen cellrandom structure

Identifiers

PMID32121391
PMCPMC7084357

What OpenQuestion holds

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LicenceCC BY
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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.