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Record W2736897420

Effect of welding speed on lap joint quality of friction stir welded AZ31 magnesium alloy

2008· article· en· W2736897420 on OpenAlexfundvenueno aff
X. Cao, Mohammad Jahazi

Bibliographic record

VenueNPARC · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvanced Welding Techniques Analysis
Canadian institutionsnot available
FundersMcGill University
KeywordsMaterials scienceWeldingFriction stir weldingMagnesium alloyMetallurgyUltimate tensile strengthMicrostructureShear (geology)Composite materialJoint (building)Structural engineeringEngineering
DOInot available

Abstract

fetched live from OpenAlex

Friction stir welding (FSW) is an attractive option to join magnesium alloys, one of the lightest metals for structural applications. In this work, the effect of welding speed ranging from 5 to 30 mm/s on lap joint quality of 2-mm thick AZ31B-H24 magnesium alloy was investigated in terms of weld defects, microstructure, hardness and tensile shear properties. The influence of welding speed on welding defects such as hooking and kissing bond is discussed in detail. Also, the evolution of the microstructure, hardness and tensile shear load as a function of welding speed are studied. The welding process of the lap joints for 2-mm thick AZ31 magnesium alloy was optimized based on the minimization of the hooking defect and the maximization of the tensile shear strength. Sound lap joints with good surface quality, low distortion, lack of cavity and crack defects, with minor hooking and kissing bond, and with high tensile shear strength were successfully obtained indicating the great potential of FSW technique for magnesium alloys.

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.

How this classification was reachedexpand

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 score0.022
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.023
GPT teacher head0.274
Teacher spread0.251 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2008
Admission routes2
Has abstractyes

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