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Effect of microstructure on liquation cracking during AZ91 friction stir spot welding

2010· article· en· W2107366924 on OpenAlexafffund
S. Horie, Kenji Shinozaki, M. Yamamoto, T. H. North, A.P. Gerlich

Bibliographic record

VenueScience and Technology of Welding & Joining · 2010
Typearticle
Languageen
FieldEngineering
TopicAdvanced Welding Techniques Analysis
Canadian institutionsUniversity of AlbertaUniversity of Toronto
FundersJoining and Welding Research Institute, Osaka UniversityNatural Sciences and Engineering Research Council of Canada
KeywordsLiquationMaterials scienceEutectic systemMicrostructureMetallurgyWeldingCrackingSpot weldingFriction stir weldingPenetration (warfare)Composite material

Abstract

fetched live from OpenAlex

Effect of microstructures on liquation cracking is investigated. Melted eutectic formation and cracking are observed in the stir zone region of friction stir spot welds made in squeeze cast and in incompletely solutionised AZ91 sections containing Mg17Al12 particles. Crack susceptibility in the stir zone region is dramatically decreased in AZ91 base material which has been forged and solution treated, and is completely free of Mg17Al12 particles. It is suggested that rapid heating during the tool penetration stage in friction stir spot welding creates undissolved Mg17Al12 particles, which facilitate eutectic melting when the temperature in the stir zone reaches 437°C, the ( α-Mg+Mg17Al12) eutectic temperature in the binary Mg–Al equilibrium phase diagram.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.003
GPT teacher head0.236
Teacher spread0.233 · 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 source (direct Gemma or distilled Codex), 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

Citations8
Published2010
Admission routes2
Has abstractyes

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