MétaCan
Menu
Back to cohort
Record W4405657642 · doi:10.1016/j.psep.2024.12.069

Understanding the atomic-scaled evolution mechanism of V and Cr in V slag with high Cr content during magnesiation roasting toward tailing toxicity minimization

2024· article· en· W4405657642 on OpenAlexaff
Jie Cheng, Hongyi Li, Guowei Zhang, Xin-Mian Chen, Jiang Diao, Bing Xie, Fusheng Pan

Bibliographic record

VenueProcess Safety and Environmental Protection · 2024
Typearticle
Languageen
FieldEngineering
TopicMetallurgical Processes and Thermodynamics
Canadian institutionsMcMaster University
FundersNational Key Research and Development Program of ChinaChina Scholarship CouncilChongqing UniversityNational Natural Science Foundation of China
KeywordsRoastingMetallurgyChromiumSlag (welding)Materials scienceChemistry

Abstract

fetched live from OpenAlex

V slag with high Cr content (VS-HCC) serves as the primary raw material for extracting V, and the evolution mechanism of V and Cr in VS-HCC decides the eco-friendliness of V extraction process. To minimize the Cr(VI) and residual V(V) content in tailings produced after V extraction, this work introduces the "atomic atmosphere" method to investigate the evolution mechanism of V and Cr in VS-HCC during magnesiation roasting at the atomic scale. In the early stage of roasting at 900℃, the FeV 2 O 4 and FeCr 2 O 4 spinel disappear and are converted into Fe 2 O 3 •V 2 O 3 and (Fe 0.6 Cr 0.4 ) 2 O 3 , with the chemical states of V and Cr unchanged; Fe 2 TiO 4 spinels are oxidized to generate FeTi 2 O 5 . After roasting for 10 min, Fe 2 SiO 4 structure is completely destroyed. Both the conversion of spinels and the complete decomposition of Fe 2 SiO 4 have created favorable conditions for the oxidation of V-bearing phases. After roasting for 50–90 min, V atoms transitioned from the mixed valence states (V 4 + /V 5+ ) to V 5+ . This transformation involved the combination of Mg 2+ , O 2- V 5+ and Mn 2+ ions, resulting in the formation of Mg 2 V 2 O 7 and Mn 2 V 2 O 7 crystals. Meanwhile, Cr atoms still exist as nontoxic Cr 3+ in the form of (Fe 0.6 Cr 0.4 ) 2 O 3 , ensuring the eco-friendliness of the magnesiation roasting of VS-HCC.

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 score0.003

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 head0.022
GPT teacher head0.177
Teacher spread0.156 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueProcess Safety and Environmental ProtectionSame topicMetallurgical Processes and ThermodynamicsFrench-language works237,207