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Record W2515316758 · doi:10.1002/srin.200200183

The properties and production of iron‐coated burnt lime

2002· article· en· W2515316758 on OpenAlexaff
Mark Lee, P. V. Barr

Bibliographic record

VenueSteel Research · 2002
Typearticle
Languageen
FieldMaterials Science
TopicClay minerals and soil interactions
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsLimeSteelmakingMetallurgyCalcium oxideMaterials scienceKilnRotary kilnWaste managementChemistryPulp and paper industryEngineering

Abstract

fetched live from OpenAlex

Ferruginous lime is the name given to burnt lime (CaO) coated with di‐calcium ferrite (2CaO·Fe2O3). Its high degradation strength, its resistance to hydration and its capacity for fast and complete solution of fluxes in the BOF and EAF make it extremely attractive as a steelmaking flux. The objectives of the present work were to assess the feasibility of producing ferruginous lime in a rotary‐kiln‐type reactor and to determine the operating conditions favourable both for the formation of a hydration resistant product and the minimisation of problems such as accretions and agglomerations within the reactor. With respect to processing conditions, the trials suggest that ferruginous lime should be generated using a peak reaction temperature of 1260 °C and allowing 45 min at greater than 1200 °C. The optimal oxide addition is 10 % (referring to mass contents) of the limestone charge to the rotary lime kiln. When subjected to short duration hydrating conditions i.e. 30 min in contact with steam at 100 °C (as per ASTM specification X6) the ferruginous lime product exhibited good resistance to hydration (relative to pure CaO) and moderate physical degradation. Laboratory tests demonstrated the significantly enhanced rate and degree of dissolution of ferruginous lime (cf. uncoated lime) in a steelmaking slag.

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 score0.002

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 head0.228
GPT teacher head0.362
Teacher spread0.134 · 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
Published2002
Admission routes1
Has abstractyes

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