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Deoxidizing and modifying properties of alkaline earth metals within ferroalumosilicocalcium and ferrosilicobarium alloys

2018· article· en· W2904388879 on OpenAlexaff
A. E. Il’yasov, S. N. Sharkaev, A. B. Akhmetov, Г. Д. Кусаинова, V. I. Yablonsky

Bibliographic record

VenueFerrous Metallurgy Bulletin of Scientific Technical and Economic Information · 2018
Typearticle
Languageen
FieldEngineering
TopicIndustrial Engineering and Technologies
Canadian institutionsArcelorMittal (Canada)
Fundersnot available
KeywordsMaterials scienceMetallurgyBariumIngotSmeltingAlloyMicrostructureFerroalloyRefining (metallurgy)DeoxidizationAluminiumCastingSilicon

Abstract

fetched live from OpenAlex

Modification of alloys, in particular, by calcium and barium, is one of the promising directions for obtaining alloys with a fine crystalline structure. Complex ferroalloys – ferroalumosilicocalcium and ferrosilicobarium – were developed in the Chemical and Metallurgical Institute after Zh. Abishev. It was shown, that modification of steel by silicon-aluminum complex alloys containing chemically active elements – calcium and barium, should become one of the most effective methods to improve the quality of machine-building metal products. The chemical compositions of the smelted ferroaluminosiliconcalcium and ferrosilicobarium presented. The melting range of the nonmetallic compound formed during the deoxidation of steel by complex alloy containing calcium determined. Results of mechanical tests of the specimens of steel, modified by a complex alloy containing barium considered. A comparison of microstructure of the current production route steel and deoxidized with the complex alloys was carried out. In the course of metallographic studies of experimental steel specimens, a modifying influence on the morphology of nonmetallic inclusions by calcium and barium, supplied in a complex with aluminum and silicon alloys, was established. Metal processing by complex alloys such as ferrosilicoaluminum with calcium (FASC) and ferrosilicobarium (FSAB) indicates the possibility of achieving a higher degree of refining from oxide nonmetallic inclusions and a more even distribution of them in the ingot. The results of the industrial heats also indicated a possibility of improving of quality of casting through the decreasing of hot thermal cracks and gas-shrinkage defects, cleaner grain boundaries, a significant reduction in the number and size of carbide inclusions.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.001

Distilled classifier scores by category (both heads)

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 head0.019
GPT teacher head0.192
Teacher spread0.173 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations2
Published2018
Admission routes1
Has abstractyes

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