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Record W2040887988 · doi:10.1179/174328409x439088

Interaction of 308 stainless steel insert with A319 aluminium casting alloy

2010· article· en· W2040887988 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

VenueMaterials Science and Technology · 2010
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloys Composites Properties
Canadian institutionsConcordia UniversityNatural Resources CanadaMcGill University
Fundersnot available
KeywordsMaterials scienceIntermetallicMetallurgyAluminiumBrittlenessCopperGalvanizationIndentation hardnessAlloyCoating5005 aluminium alloyAluminium alloyLayer (electronics)Composite materialMicrostructure

Abstract

fetched live from OpenAlex

In the metallurgical connection of aluminium alloys to steels, it is important to restrain the formation and growth of hard and brittle intermetallic phases at the aluminium/steel interface to enhance the mechanical behaviour of the joint. The influence of two coating materials, electroless plated copper (for 20 and 40 min) and galvanised zinc (at 480 and 550°C), on the quality of the interface between 308 stainless steel and A319 aluminium matrix was investigated. Copper led to the formation of a compact, solid inhibition layer against the elemental diffusion at the aluminium–steel contact temperature, while zinc resulted in the formation of a composite intermetallic layer which was open in structure. Comparing all interfaces formed between the insert and Al matrix, the 40 min Cu coated steel revealed the lowest values in terms of the thickness and microhardness after immersion into the molten aluminium.

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 score0.002
Threshold uncertainty score0.338

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 studies0.0000.001
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 head0.007
GPT teacher head0.204
Teacher spread0.196 · 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