Evidence map›Paper›PMID 37012279›Full record

ArticleScientific reports2023

Statistical modeling of Si-based refractory compounds of bamboo leaf and alumina reinforced Al-Si-Mg alloy hybrid composites.

Olanrewaju S Adesina, Adeolu A Adediran, Francis O Edoziuno, Olufemi O Sanyaolu, Babatunde A Obadele

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 31% of its field
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

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 4 institutions in 2 countries.

Olanrewaju S AdesinaDepartment of Mechanical Engineering, Redeemer's University, P.M.B. 230, Ede, Osun State, Nigeria. osaadesina@yahoo.com.
Adeolu A AdediranDepartment of Mechanical Engineering, Landmark University, P.M.B. 1001, Omu - Aran, Kwara State, Nigeria. adediran.adeolu@lmu.edu.ng.
Francis O EdoziunoDepartment of Metallurgical Engineering, Delta State Polytechnic, Ogwashi-Ukwu, 320107, Nigeria.
Olufemi O SanyaoluDepartment of Mechanical Engineering, Redeemer's University, P.M.B. 230, Ede, Osun State, Nigeria.
Babatunde A ObadeleDepartment of Chemical, Materials and Metallurgical Engineering, Botswana International University of Science and Technology, Palapye, Botswana.
Redeemer's University · NGBotswana International University of Science and Technology · BWDelta State Polytechnic · NGLandmark University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wear properties of Al-Mg-Si alloy matrix hybrid composites made with Si-based refractory compounds (SBRC) derived from bamboo leaf ash (BLA) as complimentary reinforcement with alumina have been studied. The experimental result indicate that optimum wear loss was obtained at higher sliding speed. The wear rate of the composites increased with an increase in BLA wt. %, with the composites having 4%SBRC from BLA + 6% alumina (B4) showing the least wear loss for the different sliding speeds and wear loads considered. With increasing BLA weight percent, the composites' wear mechanism was mostly abrasive wear. Numerical optimization results using central composite design (CCD) reveal that at a wear load of 587.014N, sliding speed of 310.053 rpm and B4 hybrid filler composition level respectively, minimum responses in wear rate (0.572mm

Identifiers

PMID37012279
PMCPMC10070442
OpenAlexW4362522474

What OpenQuestion holds

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LicenceCC BY
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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.