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Liquid film formation and cracking during friction stir welding

2011· article· en· W2091695993 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.

Bibliographic record

VenueScience and Technology of Welding & Joining · 2011
Typearticle
Languageen
FieldEngineering
TopicAdvanced Welding Techniques Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMaterials scienceRotational speedWeldingDissolutionFriction stir weldingCrackingMetallurgyRotation (mathematics)Composite materialSpallPhase (matter)Melting pointMechanical engineeringGeometry

Abstract

fetched live from OpenAlex

The influence of tool rotation speed and travel speed during friction stir welding is studied in the case of Al 2024 which contains low melting point phases. When a tool rotation speed of 1600 rev min −1 is applied with a travel speed of 100 mm min −1 , S-phase (Al 2 CuMg) particles in the base material form melted films, promoting the formation of spalling defects comprising subsurface cracks along the trailing edge of the weld below the tool shoulder. Decreasing the tool rotation speed to 400 rev min −1 prevented formation of the melted films by reducing the peak temperature in the stir zone, and avoided formation of spalling defects. When the travel speed is decreased to 32 mm min −1 when using 1600 rev min −1 , dissolution of the S-phase occurs and fewer melted films remain in the stir zone. This implies that travel speeds are limited in alloys which contain low melting point phases since these promote cracking defects.

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 score0.035
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.013
GPT teacher head0.220
Teacher spread0.208 · 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