Evidence map›Paper›PMID 39360142›Full record

Article3D printing and additive manufacturing2024

Evaluation of the Influence of Technological Parameters of Selected 3D Printing Technologies on Tribological Properties.

Tomasz Kozior, Muammel M Hanon, Paweł Zmarzły, Damian Gogolewski, Mateusz Rudnik, Wiktor Szot

Abstract read
In one paragraph

Article in 3D printing and additive manufacturing, 2024. 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

6 authors.

Tomasz KoziorDepartment of Metrology and Unconventional Manufacturing Methods, Kielce University of Technology, Kielce, Poland.ORCID https://orcid.org/0000-0002-8922-4187
Muammel M HanonBaquba Technical Institute, Middle Technical University (MTU), Baghdad, Iraq.ORCID https://orcid.org/0000-0003-4811-5723
Paweł ZmarzłyDepartment of Metrology and Unconventional Manufacturing Methods, Kielce University of Technology, Kielce, Poland.
Damian GogolewskiDepartment of Metrology and Unconventional Manufacturing Methods, Kielce University of Technology, Kielce, Poland.
Mateusz RudnikDepartment of Metrology and Unconventional Manufacturing Methods, Kielce University of Technology, Kielce, Poland.ORCID https://orcid.org/0000-0001-5096-608X
Wiktor SzotDepartment of Metrology and Unconventional Manufacturing Methods, Kielce University of Technology, Kielce, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The article presents the results of tribological research of sample models manufactured using three separate 3D printing technologies: selective laser sintering-SLS, photo-curing of liquid polymer resins-PolyJet Matrix (PJM) and fused deposition modeling-FDM. The impact of process parameters (printing direction, layer thickness, and energy density for SLS) on tribological properties was assessed through linear wear and coefficient of friction. The research was carried out to assess the possibility of using 3D printing for the quick manufacturing of casting models, which has a significant impact on shortening the time of implementation for mass production of the casting process. The research results proved the possibility of controlling the technological process in a manner allowing to produce models with controlled properties, including tribological parameters. In addition, the results for three additive technologies and different materials were compared by using the same friction parameters.

Indexed as

3D printingfused deposition modelingPolyJet matrixselective laser sinteringtribological quality

Identifiers

PMID39360142
PMCPMC11443113

What OpenQuestion holds

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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.