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A concept of control of processes of vanadium, niobium and titanium carbonitrides forming by consecutive alloying

2018· article· en· W2904071710 on OpenAlexaff
A. V. Akhmetov, Г. Д. Кусаинова, S. N. Sharkaev, K. M. Muskenova, V. B. Basin, T. S. Sejsimbinov

Bibliographic record

VenueFerrous Metallurgy Bulletin of Scientific Technical and Economic Information · 2018
Typearticle
Languageen
FieldEngineering
TopicMicrostructure and Mechanical Properties of Steels
Canadian institutionsArcelorMittal (Canada)
Fundersnot available
KeywordsNiobiumVanadiumTitaniumMaterials scienceMicrostructureMetallurgyScanning electron microscopeMicroanalysisComposite materialChemistry

Abstract

fetched live from OpenAlex

Base on laboratory and industrial experiments, as well as subsequent studies of the microstructure of steel samples alloyed with a certain sequence by vanadium, niobium, and titanium, a concept including compliance with the order of those microalloying elements introducing into steel developed and justified. According to the concept, the sequence of introduction is determined by the difference in the degree of their thermodynamic affinity to the nitrogen and carbon dissolved in the steel. Investigations of the microstructure of experimental microalloyed samples by an optical microscope, with a magnification x250, showed the most significant grain refinement with a consecutive additive – first vanadium with niobium and after 10 minutes of holding – titanium. The efficiency of the developed alloying method for the advanced formation of vanadium and niobium carbonitrides was evaluated by studies with the Mira3 Tescan electron scanning microscope having an X-ray energy dispersive microanalysis system X-Act (Oxford Instruments). When studying the compositions and the form of carbonitrides discovered in steel samples alloyed with a different sequence of additives, it was established, that during simultaneous additive of titanium, vanadium and niobium into steel, titanium carbonitrides account for a majority, while vanadium and niobium carbonitrides are not actually formed or are represented by single inclusions. Conversely, in steel samples alloyed with a consecutive additive to steel, first vanadium with niobium and later titanium, carbonitride of vanadium and niobium inclusions prevail. In this case, titanium carbonitrides are represented only by single and fine inclusions. Thus, first introducing of vanadium and niobium, allows them to react fully with stoichiometrically insufficient concentrations of nitrogen and carbon, ahead of the formation of titanium nitrides. Based on the results of the research in JSC “ArcelorMittal Temirtau”, using the developed concept of consecutive alloying by carbonitride-forming elements, the technology of 09G2FB grade steel production with a ferrite-bainite structure developed and implemented, fully meeting API Spec 5L requirements for steel of strength category X80.

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 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 score0.017
Threshold uncertainty score0.387

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 studies0.0000.001
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 head0.004
GPT teacher head0.169
Teacher spread0.165 · 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 teacher head, 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

Citations1
Published2018
Admission routes1
Has abstractyes

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