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Effect of Zn interlayer on brazeability of AZ31B–Mg alloy to steel sheet

2014· article· en· W2011288854 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 · 2014
Typearticle
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaAmerican Welding Society
KeywordsMaterials scienceMetallurgyEutectic systemAlloyNucleationMagnesium alloyPhase (matter)CoatingLayer (electronics)ElectroplatingWettingComposite material

Abstract

fetched live from OpenAlex

The brazeability of AZ31B–H24 magnesium alloy sheet to Zn electroplated, plain carbon steel sheet using an Mg–Al–Zn alloy filler metal and a diode laser heat source has been investigated. While the Zn coating promoted good wetting between the molten filler alloy and the steel sheet, it did not play a direct role in forming the final bond. Bonding between the magnesium alloy and the steel was facilitated by the formation of two transition layers. First, a nanoscale layer of FeAl 3 phase formed on the surface of the steel by diffusion of Al from the Mg–Al–Zn brazing alloy into the steel. Upon further cooling, nucleation and growth of either α-Mg+MgZn eutectic phases or Mg 2 (Al,Zn) 3 phase occurred on the FeAl 3 surface layer.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.029
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.008
GPT teacher head0.258
Teacher spread0.250 · 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