Evidence map›Paper›PMID 41888237›Full record

ArticleScientific reports2026

A hybrid RSM-spherical fuzzy WASPAS framework for robust tribological optimization of directionally rolled copper rods under manufacturing uncertainty.

S P Sundar Singh Sivam, Stalin Kesavan, A Johnson Santhosh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. 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.

S P Sundar Singh SivamDepartment of Mechanical Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, 603203, India. legendsundar2k6@gmail.com.
Stalin KesavanDepartment of Marine Engineering, Amet University, East Coast Road, Kanathur, Chennai, 603 112, India.
A Johnson SanthoshFaculty of Mechanical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia. johnson.antony@ju.edu.et.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study develops a robust hybrid optimization framework to enhance the tribological performance of directionally rolled copper rods for sustainable, defect-free micro-cup production under uncertain manufacturing conditions, where conflicting responses and imprecise decision environments constrain conventional optimization approaches. A face-centered Central Composite Design (CCD) was employed to investigate the effects of four critical process parameters-applied load (400-800 N), sliding speed (2-6 rpm), sliding distance (20-60 m), and draw ratio (1.69-3.09). Six key tribological responses, namely wear rate, coefficient of friction, material loss, frictional force, wear scar diameter, and temperature rise, were modeled using Response Surface Methodology (RSM). Model adequacy and robustness were rigorously validated through ANOVA, adjusted and predicted R

Indexed as

Directionally rolled copper rodsMicro-forming optimizationResponse surface methodologySpherical fuzzy WASPASTribological optimizationUncertainty analysisWear mechanism maps

Identifiers

PMID41888237
PMCPMC13172501

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.