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Impact properties of Al-Si foundry alloys

2000· article· en· W2559323617 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

VenueInternational Journal of Cast Metals Research · 2000
Typearticle
Languageen
FieldEngineering
TopicMetal Forming Simulation Techniques
Canadian institutionsMcGill University
Fundersnot available
KeywordsEutectic systemMaterials scienceIntermetallicFoundryAlloyMicrostructureMetallurgyIzod impact strength testImpact energySiliconFracture (geology)Composite material

Abstract

fetched live from OpenAlex

The impact properties of 413, 356, 319 and 332 alloys were assessed using instrumented impact testing equipment. The fracture responses of the impact specimens were studied in terms of total absorbed energy, crack initiation and crack propagation energies. The influence of the microstructure on the impact strength was investigated. The effects of chemical modification and/or heat treatment of 356 alloy were examined by testing unmodified and Sr modified samples in the as-cast condition and T6 condition with different solution heat treatment times and artificial aging times.In the case of the 413 and 356 alloys, the impact strength was found to be influenced by the amount, size and morphology of the eutectic silicon. On the other hand, the intermetallic phases such as CuAl2 in 319 and 332 alloys exert a greater influence than does the eutectic silicon. Solution heat treatment of 356 alloy was found to have a profound effect on the impact properties.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.199
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.096
GPT teacher head0.416
Teacher spread0.321 · 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