Evidence map›Paper›PMID 35160801›Full record

ArticleMaterials (Basel, Switzerland)2022

Vibration Fatigue of FDM 3D Printed Structures: The Use of Frequency Domain Approach.

Massimiliano Palmieri, Guido Zucca, Giulia Morettini, Luca Landi, Filippo Cianetti

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Massimiliano PalmieriDeparment of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy.ORCID 0000-0001-8891-6432
Guido ZuccaItalian Air Force, Aeronautical and Space Test Division, Via Pratica di Mare, 00040 Pomezia, Italy.ORCID 0000-0003-3567-9335
Giulia MorettiniDeparment of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy.ORCID 0000-0001-7313-135X
Luca LandiDeparment of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy.ORCID 0000-0001-8803-1693
Filippo CianettiDeparment of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy.ORCID 0000-0002-1163-782X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Additive manufactured structures are replacing the corresponding ones realized with classical manufacturing technique. As for metallic structures, 3D printed components are generally subjected to dynamic loading conditions which can lead to fatigue failure. In this context, it is useful, and sometimes mandatory, to determine the fatigue life of such components through numerical simulation. The methods currently available in literature for the estimation of fatigue life were originally developed for metallic structures and, therefore, it is now necessary to verify their applicability also for components fabricated with different materials. To this end, in the current activity three of the most used spectral methods for the estimation of fatigue life were used to determine the fatigue life of a 3D printed Y-shaped specimen realized in polylactic acid subjected to random loads with the aim of determining their adaptability also for this kind of materials. To certify the accuracy of the numerical prediction, a set of experimental tests were conducted in order to obtain the real fatigue life of the component and to compare the experimental results with those numerically obtained. The obtained outcomes showed there is an excellent match between the numerical and the experimental data, thus certifying the possibility of using the investigated spectral methods to predict the fatigue life of additive manufactured components.

Indexed as

3D printed structuresfatigue damagespectral methodsvibration fatigue

Identifiers

PMID35160801
PMCPMC8838433

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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.