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Record W2595481809 · doi:10.1504/ijmpt.1998.036230

Particle agglomeration and fracture in MA 956 and MMC friction joints

2014· article· en· W2595481809 on OpenAlexaff
Y. Zhai, C. Maldonado, T. H. North, Gabor Bendzsak

Bibliographic record

VenueInternational Journal of Materials and Product Technology · 2014
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloys Composites Properties
Canadian institutionsUniversity of Toronto
FundersDivision of Materials Research
KeywordsMaterials scienceEconomies of agglomerationWeldingParticle (ecology)AlloyAluminiumJoint (building)Composite materialMetallurgyStructural engineeringGeology

Abstract

fetched live from OpenAlex

Changes in the particle characteristics produced during friction joining of iron–based MA 956 and aluminium alloy 6061/Al2O3 (W6A.lOA–T6) material are investigated. Large irregularly–shaped particles are formed at the bondline in MA 956/MA 956 joints while particle fragmentation is observed in MMC/MMC joints. It is suggested that fluid flow promotes the retention of agglomerated (Y2O3, Al2O3, Ti(CN)) particles and fractured Al2O3 particles at the bondline regions in MA 956/MA 956 and MMC/MMC joints. There was excellent correspondence between numerically calculated fluid flow patterns in Al/Al friction joints and the movement of reinforcing Al2O3 particles in actual friction welded joints. In particular, Al2O3 particles were transferred from the location near the joint periphery towards the component centreline when MMC wires were inserted in an alloy 6061–T6 substrate prior to 6061/6061 friction joining.

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 score0.019
Threshold uncertainty score0.226

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 head0.005
GPT teacher head0.202
Teacher spread0.197 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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