Evidence map›Paper›PMID 40858787›Full record

ArticleScientific reports2025

Optimal selection of SiC and TiO

Swati Gangwar, Sugandha Singh, Vimal Kumar Pathak

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

3 authors.

Swati GangwarDepartment of Mechanical Engineering, Netaji Subhash University of Technology, New Delhi, India.
Sugandha SinghDepartment of Mechanical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.
Vimal Kumar PathakDepartment of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India. vimalkumar.pathak@jaipur.manipal.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The correct selection of material with adequate characteristics for bearing races has been troublesome owing to the wide availability of materials with different sets of characteristics. In the same context, the present work deals with selection of the best composite formulation using multi-criteria decision making (MCDM) method among the set of prepared composite alternatives. The preference selection index (PSI) method was utilized in ranking alternatives under uncertain (fuzzy) environment. Four hybrid Zinc alloy (ZA-27) nanocomposite reinforced with varying wt% of micro SiC and nano TiO2 were fabricated using stir casting technique, and different performance characteristics are examined to select the best composite formulation for bearing races. The rationale for selecting this combination of materials stems from the enhanced hardness and thermal resistance provided by micro SiC particles, while TiO

Indexed as

CharacterizationMaterial selectionNanocompositePSIZA-27 alloy

Identifiers

PMID40858787
PMCPMC12381072

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.