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A Novel Measurement of Voidage in Coke and Ferrous Layers in Softening and Melting under Load Test Using Synchrotron X-ray and Neutron Computed Tomography

2018· article· en· W2889304853 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

VenueISIJ International · 2018
Typearticle
Languageen
FieldEngineering
TopicIron and Steelmaking Processes
Canadian institutionsIron Ore Company (Canada)
FundersAustralian Research CouncilAustralian Synchrotron
KeywordsMaterials scienceSofteningCokeSynchrotronVoid (composites)TomographyComposite materialPenetration (warfare)Blast furnaceFerrousMetallurgyOptics

Abstract

fetched live from OpenAlex

For the first time, the bed voidage of samples from interrupted softening and melting (S&M) under load tests was measured directly using computed tomography (CT). The large size, fused structure and high metallic iron content of the samples required the very high energy synchrotron X-ray source for scanning; samples produced at higher temperatures, e.g., 1450°C, required neutron CT to allow adequate penetration of the samples. This method was able to uniquely and accurately identify the volumes, distributions, and structures of coke, ferrous, and void in the S&M samples, and quantify the tortuosity of the voids. This information is critical for analysis of the pressure drop–contraction relationship in the S&M under load test, and will allow the improvement of the treatment of the cohesive zone in numerical models of the blast furnace.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.431

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 head0.023
GPT teacher head0.245
Teacher spread0.222 · 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