Evidence map›Paper›PMID 41634222›Full record

ArticleScientific reports2026

Friction stir welding parameter optimization for dissimilar AA2014 and AA5052 aluminium alloys.

Seenivasan Soundararjan, C Jeevakarunya, P Raj Kumar, R Chandraprakash, Sathish Kannan, A Saiyathibrahim, A Johnson Santhosh

Abstract read
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

7 authors.

Seenivasan SoundararjanDepartment of Mechanical Engineering, Rathinam Technical Campus, Coimbatore, India.
C JeevakarunyaDepartment of Electronics and Communication Engineering, Rathinam Technical Campus, Coimbatore, India.
P Raj KumarDepartment of Robotics and Automation, Dhaanish Ahmed Institute of Technology, Coimbatore, India.
R ChandraprakashDepartment of Robotics and Automation, Dhaanish Ahmed Institute of Technology, Coimbatore, India.
Sathish KannanDepartment of Mechanical Engineering, School of Engineering Architecture and Interior Design, Amity University Dubai, Dubai, UAE.
A SaiyathibrahimDepartment of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, SIMATS, Chennai, Tamil Nadu, 602105, India.
A Johnson SanthoshFaculty of Mechanical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia. johnsonsanthosh@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This scientific research has optimized the parameters of Friction Stir Welding (FSW) for dissimilar aluminium alloys of AA2014 and AA5052 by using Response Surface Methodology (RSM) with a Box-Behnken Design (BBD). Four critical processing variables, i.e., tool rotating speed (1500-2100 rpm), pin geometry (triangle, circular, square), axial load (7-10 kN), and welding speed (10-20 mm/min), were systematically varied to assess their influence on ultimate tensile strength (UTS), yield strength (YS), elongation (E), and microhardness (H). Multi-response optimization using the desirability function revealed a set of favourable conditions: 1879.95 rpm, square pin, 10 kN axial load, and 17.62 mm/min welding speed. Under these conditions the mechanical performance of the weld showed a balance of UTS = 257.76 MPa, YS = 196.96 MPa, E = 4.41%, and H = 100.96 Hv with a combined desirability of 0.880. Subsequent validation experiments proved the model to be reliable, with errors in the prediction of UTS and YS less than 1.5%. Microstructural examination showed that the optimized weld had a fine equiaxed grain structure and a homogeneous distribution of Al

Indexed as

Dissimilar aluminium alloysFriction stir weldingMicrohardnessProductivityResponse surface methodologyTensile properties

Identifiers

PMID41634222
PMCPMC12920769

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.