MétaCan
Menu
Back to cohort

RESEARCH OF HIGH TEMPERATURE GAS CORROSION OF LOW-ALLOY CHROME-SILICON CAST IRON IN AN ENVIRONMENT OF ANODIC GASES OF ALUMINUM ELECTROLYSERS

2023· article· en· W4391565701 on OpenAlexaff
Evgenii A. Pinaev, M. V. Temlyantсev, A. S. Simachev, Elena N. Temlyantseva, Ol'ga V. Bessonova

Bibliographic record

VenueBulletin of the Siberian State Industrial University · 2023
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Applications
Canadian institutionsEVRAZ (Canada)
Fundersnot available
KeywordsCorrosionMetallurgyMaterials scienceCast ironChromiumGraphiteSiliconAlloyAnodeAluminiumChemistryElectrode

Abstract

fetched live from OpenAlex

The atmosphere of the anode gases of the aluminum electrolyzers of EcoSoderberg contains fluorine compounds, sulfur oxides and vanadium, causing intense gas corrosion of the elements of the gas collecting bell. Corrosion of cast-iron sections of the gas collecting bell leads to a reduction in their service life, as a consequence of the need for more frequent repairs and is the reason for a decrease in the grade of primary aluminum by iron impurities. The corrosion resistance of low-alloyed chromium-siliceous cast iron (silicon content 3.06 %, chromium 0.71 %) in the anode gases of aluminum electrolyzers was studied. The research was carried out in industrial conditions. Full-profile sections of the gas collecting bell are made of experimental cast iron. The duration of operation of the sections was 24.32 months. The mass loss due to corrosion was 13.5 %, and the average specific mass loss was 0.128 ·10–3, g/(cm2·h). The specific mass loss of routinely used high-strength cast iron with spherical graphite grade HF 50 is almost 4.8 times higher and amounts to 0.614 · 10–3, g / (cm2 · h). The basis of experimental low-alloyed chromium-silicon cast iron is ferritic, graphite secretions have a shape close to spherical, corrosion processes develop along the boundaries of ferrite grains. The hardness of cast iron is 140 – 149 NV. The increased corrosion resistance of cast iron is based on the ability of chromium and silicon to form protective films on the metal surface that prevent the diffusion of oxidizing gases. In particular, silicon contributes to an increase in the point of formation and stable existence in the corrosion products of the lustite phase of FeO up to 900 °C and forms a layer of Fe2SiO4 · SiO2 with increased protective properties and slowing down the processes of high-temperature gas corrosion. The experimental composition of cast iron is recommended for industrial use.

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 score0.004
Threshold uncertainty score0.008

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)0.0010.000

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 head0.032
GPT teacher head0.240
Teacher spread0.207 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueBulletin of the Siberian State Industrial UniversitySame topicMaterial Properties and ApplicationsFrench-language works237,207