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Theory and Technology of Semisolid Metal Molding

2008· article· en· W2048136617 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

VenueDiffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena · 2008
Typearticle
Languageen
FieldEngineering
TopicInjection Molding Process and Properties
Canadian institutionsHusky Injection Molding Systems (Canada)
Fundersnot available
KeywordsMolding (decorative)ThixotropyMaterials scienceRaw materialExtrusionExtrusion mouldingSlurryMetal injection moldingMetallurgyLiquidusDie castingCastingComposite materialAlloySinteringChemistry

Abstract

fetched live from OpenAlex

Fundamentals of semisolid metal molding, including the particulate feedstock, methods of its generation and features that make it useful for processing, are outlined. Melting characteristics of the feedstock under sole influence of heat are considered, covering a wide range of microstructural and microchemical factors, believed to be of importance at high temperatures. The generation of the thixotropic slurry within the injection molding system and its solidification behaviour are accompanied by detailed features of the molded structures and their correlation with properties of net-shape components. In addition to conventional techniques the novel processing concepts including near-liquidus molding, semisolid extrusion molding as well as the alloy and composite generation in a semisolid state are described. An update on commercialization progress is completed by a characterization of the modern equipment used for process implementation with broad references to metal die casting and plastics injection molding.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0020.003
Research integrity0.0000.001
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 head0.032
GPT teacher head0.267
Teacher spread0.235 · 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