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Record W2229479503 · doi:10.4271/2005-01-0725

Mechanical Properties of AM60B Die Castings A Review of the AUTO21 Program on Magnesium Die-Casting

2005· review· en· W2229479503 on OpenAlexafffund
J.T. Wood, R.J. Klassen, Michael A. Gharghouri, Éric Maire, G. Wang, R. Berkmortel

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2005
Typereview
Languageen
FieldEngineering
TopicMaterials Engineering and Processing
Canadian institutionsDalhousie UniversityWestern University
FundersAUTO21 Network of Centres of ExcellenceNetworks of Centres of Excellence of Canada
KeywordsDie castingDie (integrated circuit)CastingMagnesiumMaterials scienceMetallurgyMicrostructureMagnesium alloyMoldMechanical engineeringEngineeringComposite material

Abstract

fetched live from OpenAlex

This paper provides an overview of the research efforts within the AUTO21 program on magnesium die-casting. The objective of the program is to better understand the mechanical properties of magnesium high pressure die-castings (HPDC) and to develop the capability to predict the local mechanical properties over a given component based on its shape, the design of the mold and the casting parameters used in its production. The paper highlights the research group's findings related to the microstructure and mechanical properties of a full-scale instrument panel beam casting and outlines the goals of the continuing research program.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.032
GPT teacher head0.270
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations7
Published2005
Admission routes2
Has abstractyes

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