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Record W2379238754

The Solidification Behavior of Pb-Sn Alloy in Rotating Magnetic Field

2006· article· en· W2379238754 on OpenAlex
Meng Xiaohua

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

VenueCailiao daobao · 2006
Typearticle
Languageen
FieldMaterials Science
TopicSolidification and crystal growth phenomena
Canadian institutionsScience North
Fundersnot available
KeywordsEutectic systemMaterials scienceNucleationAlloyMicrostructureCooling curveLamellar structureMagnetic fieldRotating magnetic fieldDirectional solidificationMetallurgyDendrite (mathematics)RecalescencePhase (matter)ConvectionCondensed matter physicsThermodynamicsPhysics
DOInot available

Abstract

fetched live from OpenAlex

The experiment of Pb-50wt%Sn,Pb-61.9wt%Sn alloy solidify in rotating magnetic field and the regularity of the process was carried out, The microstructure and growth characteristics were investigated. According to the cooling curves, The roating magnetic field tend to accelerate the cooling rate and stimulate the nucleation of the melt compared to static condition .The stirring effect of magnetic tend to provide some extra energy fluctutation to overcome the therm odynamic barrier for nucleation. It is found that,for Pb-61.9wt%Sn eutectic alloy,magnetic field induced the forced convection of the melt which result in a microstructure of lamellas →coarser lamellas→ anomalous eutecticand suppression of gravity-microsegregation and it was revealed that a “lamellar eutecticanomalous eutectic”.Meanwhile, for Pb-50wt%Sn eutectic alloy, a “dendrite manner spheric grain” microstructre change of the primary phase (Pb)occurs and conspicuous grain refinement effect takes place .These are explained by the forced convection inside the melt.

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 score0.130
Threshold uncertainty score0.290

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 studies0.0000.000
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 head0.012
GPT teacher head0.245
Teacher spread0.232 · 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