Evidence map›Paper›PMID 37763418›Full record

ArticleMaterials (Basel, Switzerland)2023

Mechanical and Surface Characteristics of Selective Laser Melting-Manufactured Dental Prostheses in Different Processing Stages.

Edgar Moraru, Alina-Maria Stoica, Octavian Donțu, Sorin Cănănău, Nicolae-Alexandru Stoica, Victor Constantin, Daniela-Doina Cioboată, Liliana-Laura Bădiță-Voicu

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Edgar MoraruFaculty of Mechanical Engineering and Mechatronics, National University of Science and Technology Politehnica Bucharest, 313 Splaiul Independentei, 060042 Bucharest, Romania.ORCID 0000-0002-5745-8165
Alina-Maria StoicaFaculty of Mechanical Engineering and Mechatronics, National University of Science and Technology Politehnica Bucharest, 313 Splaiul Independentei, 060042 Bucharest, Romania.
Octavian DonțuFaculty of Mechanical Engineering and Mechatronics, National University of Science and Technology Politehnica Bucharest, 313 Splaiul Independentei, 060042 Bucharest, Romania.
Sorin CănănăuFaculty of Mechanical Engineering and Mechatronics, National University of Science and Technology Politehnica Bucharest, 313 Splaiul Independentei, 060042 Bucharest, Romania.
Nicolae-Alexandru StoicaFaculty of Mechanical Engineering and Mechatronics, National University of Science and Technology Politehnica Bucharest, 313 Splaiul Independentei, 060042 Bucharest, Romania.ORCID 0000-0001-7033-6528
Victor ConstantinFaculty of Mechanical Engineering and Mechatronics, National University of Science and Technology Politehnica Bucharest, 313 Splaiul Independentei, 060042 Bucharest, Romania.
Daniela-Doina CioboatăThe National Institute of Research and Development in Mechatronics and Measurement Technique, 6-8 Soseaua Pantelimon, 021631 Bucharest, Romania.ORCID 0000-0001-5223-806X
Liliana-Laura Bădiță-VoicuThe National Institute of Research and Development in Mechatronics and Measurement Technique, 6-8 Soseaua Pantelimon, 021631 Bucharest, Romania.

Funding

European Social Fund from the Sectorial Operational Programme Human Capital 2014-2020, through the Financial Agreement with the title "Training of PhD students and postdoctoral re-searchers in order to acquire applied research skills - SMART" Contract no. 13530/16.06.2022 - SMIS code: 153734
6 · The paper itself

Abstract

Due to the expansion of the use of powder bed fusion metal additive technologies in the medical field, especially for the realization of dental prostheses, in this paper, the authors propose a comparative experimental study of the mechanical characteristics and the state of their microscale surfaces. The comparison was made from material considerations starting from two dental alloys commonly used to realize dental prostheses: Ni-Cr and Co-Cr, but also technologies for obtaining selective laser melting (SLM) and conventional casting. In addition, to compare the performances with the classical casting technology, for the dental prostheses obtained through SLM, the post-processing stage in which they are in a preliminary finishing and polished state was considered. Therefore, for the determination of important mechanical characteristics and the comparative study of dental prostheses, the indentation test was used, after which the hardness, penetration depths (maximum, permanent, and contact depth), contact stiffness, and contact surface were established, and for the determination of the microtopography of the surfaces, atomic force microscopy (AFM) was used, obtaining the local areal roughness parameters at the miniaturized scale-surface average roughness, root-mean-square roughness (RMS), and peak-to-peak values. Following the research carried out, several interesting conclusions were drawn, and the superiority of the SLM technology over the classic casting method for the production of dental prostheses in terms of some mechanical properties was highlighted. At the same time, the degree of finishing of dental prostheses made by SLM has a significant impact on the mechanical characteristics and especially the local roughness parameters on a miniaturized scale, and if we consider the same degree of finishing, no major differences are observed in the roughness parameters of the surfaces of the prostheses produced by different technologies.

Indexed as

additive manufacturingatomic force microscopybiomaterialsdental prosthesesindentation testmechanical characteristicsmicro-/nano-roughness measurementmicrotopographyselective laser melting

Identifiers

PMID37763418
PMCPMC10533055

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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.