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Record W3183125086 · doi:10.1080/13621718.2021.1950500

Tensile properties and microstructural features of friction stir welded Al 6061 joints fabricated by various dual-pin tool shapes

2021· article· en· W3183125086 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueScience and Technology of Welding & Joining · 2021
Typearticle
Languageen
FieldEngineering
TopicAdvanced Welding Techniques Analysis
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceFriction stir weldingWeldingRectangleUltimate tensile strengthDuctility (Earth science)Joint (building)Composite materialMetallurgyStructural engineeringGeometryMathematics

Abstract

fetched live from OpenAlex

This study investigates the influence of tool shapes on tensile properties and microstructural features at stirred zone (SZ) and heat-affected zone of Al 6061 joints welded through friction stir welding (FSW) technique. Six novel dual-pin FSW tools were designed and fabricated consisting of two eccentric pins with different shapes of circle–circle, triangle–triangle (TT), rectangle–rectangle, and the combined pins of circle–triangle, circle–rectangle, and triangle–rectangle. Quasi-static tests were conducted on the welded joint samples and stress–strain data were collected. Dual-pin welding tools led to microstructural evolution including growth in the plastic flow and enlargement in SZ. Weld joints fabricated by TT and rectangle-triangle (RT) tools possessed the maximum values of tensile strength and ductility.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.220
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it