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Record W7084315049

Numerical Simulation of Impact Effect of Traditional Jet and Coherent Jet Oxygen lance on Steelmaking Pool

2015· article· en· W7084315049 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsJet (fluid)SteelmakingOxygenComputer simulationCoherence (philosophical gambling strategy)Flow (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

The two dimensional numerical model is established with adding shrouding gas holes around traditional lance oxygen Laval tube for a 90 t LD injecting auxiliary oxygen to protect main oxygen jet and form coherent state, of traditional oxygen lance and coherent lance the oxygen jet velocity distribution at jet axis and the flow characteristics of liquid steel and impact depth in pool with different lance level are analyzed. Results show that as compared with traditional oxygen lance at same lance level the attenuation of jet of coherence oxygen lance is slower, the impact force is stronger and the depth of impact pit is deeper; with lance level 30De (De-diameter of oxygen lance outlet) the max impact depth of coherent lance is just the same that of traditional lance with lance level 20De and the average impact depth of coherent lance with lance level 40De is corresponding to that of traditional lance with lance level 20De.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.286
GPT teacher head0.520
Teacher spread0.234 · 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 designSimulation or modeling
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

Citations0
Published2015
Admission routes1
Has abstractyes

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