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Record W1993551058 · doi:10.1088/0965-0393/10/1/301

Numerical simulation of squeeze cast magnesium alloy AZ91D

2001· article· en· W1993551058 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

VenueModelling and Simulation in Materials Science and Engineering · 2001
Typearticle
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsMaterials scienceMagnesium alloyCooling curveDie castingCastingAlloyMagnesiumDie (integrated circuit)Heat transferEnthalpyMetallurgyThermodynamicsMechanicsControl volumeComputationPhase (matter)PhysicsMathematics

Abstract

fetched live from OpenAlex

A two-dimensional model has been developed to simulate heat transfer and solidification phenomena of squeeze cast magnesium alloy (AZ91D). The model was based on the control-volume finite-difference approach and on the enthalpy method. The computation was carried out to understand the effect of varying processing parameters, such as applied pressure and die temperatures, on the solidification and cooling behaviours of AZ91D. The model computed the temperature distributions, the cooling curves, the shape and position of the phase front and total solidification time of a cylindrical squeeze casting. The predicted results show that high applied pressures and low die temperatures result in a high heat transfer across the casting–die interface, and consequently solidification and cooling rates increase. The comparison indicates that the predicted results are in close agreement with the existing experimental data.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score0.445

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.024
GPT teacher head0.245
Teacher spread0.221 · 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