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Record W4379963761 · doi:10.5281/zenodo.8020865

Intensified Mineral Carbonation of Natural Canadian Silicates Using Simultaneous Ball Milling

2023· article· en· W4379963761 on OpenAlexaffabout
Salma Chalouati, Arash YoosefDoost, Yi Wai Chiang, Rafael M. Santos

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageen
FieldEngineering
TopicMineral Processing and Grinding
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsCarbonationMineralBall (mathematics)MetallurgyBall millNatural (archaeology)Natural mineralMineral processingMineralogyEnvironmental scienceMaterials scienceGeologyComposite materialMathematics

Abstract

fetched live from OpenAlex

Moving toward net zero emissions require new approaches and technologies, including capturing CO<sub>2</sub> from industrial sources, especially in remote locations where currently using fossil fuels could be unavoidable for generating electricity or machinery for mining, production of cement, steel, hydrogen, gas processing, etc. Mineral carbonation could fix CO<sub>2</sub> in a highly stable solid form. This study explores intensifying the carbonation process of natural Canadian silicates and minerals, kimberlite and wollastonite, which are available in mining sites where the emission occurs. Kimberlite is well-known for containing diamonds. After extracting the diamonds, the value of tailings can vary widely depending on the mineral content and the processing costs, while kimberlite is not as reactive as wollastonite for CO<sub>2</sub> sequestration purposes. This study explored the effects of ball milling and various methods for intensifying the mineral carbonation process for CO<sub>2</sub> sequestration. Calcium and magnesium hydroxides were used as reference materials to assess the effectiveness of the ball-mill reactor. Then, various parameters in the intensification of the carbonation process were investigated, and the effects of additives (sodium hydroxide and magnesium chloride), solvents (pure water and ethanol), and process parameters (temperature, reaction time, and CO<sub>2</sub> level) on carbonation and reaction rate, CO<sub>2</sub> uptake and mineral conversions were investigated. The carbonated samples were subjected to pH testing, calcimetry, XRD analysis and scanning electron microscopy (SEM). For most feedstocks, water as the main solvent led to higher carbonation and precipitating of different carbonates (hydromagnesite, aragonite, calcite, etc.), while for kimberlite, using NaOH led to higher performance. Ball-milling is designed for purposes such as milling, grinding, etc. The centrifugal forces and related phenomena could limit the contraction of CO<sub>2</sub> and other materials in the ball mill jar. However, the results of this study suggest that ball-milling can assist in intensifying mineral carbonation reactions.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.459

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.033
GPT teacher head0.230
Teacher spread0.197 · 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 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
Published2023
Admission routes2
Has abstractyes

Explore more

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