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Record W2556113048

An Investigation of Selective Galena Recovery Following Its Depression

2015· dissertation· en· W2556113048 on OpenAlexfundno aff
E. V. Koss

Bibliographic record

VenueQSpace (Queen's University Library) · 2015
Typedissertation
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsnot available
FundersQueen's University
KeywordsDepression (economics)GalenaPsychologyPsychiatryMedicineGeologyKeynesian economicsGeochemistryEconomics
DOInot available

Abstract

fetched live from OpenAlex

It is challenging to obtain a final lead concentrate from copper-lead-zinc ores due to the complex mineralogy of the ore and the similar flotation behaviour of minerals within the ore.This study was carried out to investigate a new method of separating lead, found in the form of galena, through the use of the polyamine chelating agent triethylenetetramine (TETA).Fundamental micro-flotation, X-Ray Photoelectron Spectroscopy (XPS), and leaching tests were conducted on pure galena to investigate the ability of TETA to reactivate galena previously depressed using sulphite or dichromate ions.From the micro-flotation and XPS experiments it was found that when galena was depressed using sulphite ions, the addition of TETA resulted in the reactivation of galena and an increase in recovery.However when galena was depressed using dichromate ions, the addition of TETA caused a further decrease in recovery.Leaching experiments showed that lead dichromate is not easily leached by TETA.Bench scale studies were conducted to verify whether TETA could be used to reactivate galena from complex copper-lead-zinc ores.Results for the bench scale experiments were consistent with the fundamental studies.When sulphite ions were used to depress galena, TETA was able to effectively reactivate the galena.However when dichromate was used as the depressant, the addition of TETA did not result in the reactivation and flotation of galena.These findings further suggested that the addition of TETA in the sulphite system resulted in the removal of lead sulphite from the mineral surface.It is believed that this is lead xanthate, being more stable than lead sulphite, remained on the mineral surface, resulting in an increase in hydrophobicity and a subsequent increase in recovery.In the dichromate system, TETA did not iii remove the lead dichromate bearing hydrophilic product, which is believed to act as a barrier for required xanthate interaction.Interestingly, action of TETA at this stage caused reactivation of other sulphides co-existing with galena.Residual xanthate, which cannot be utilized by depressed galena, promoted stage flotation of sphalerite, pyrite and copper bearing minerals.Removal of these minerals was helpful for further upgrading of galena in the tailings fraction.

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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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score1.000

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 communication0.0000.001
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 head0.012
GPT teacher head0.257
Teacher spread0.245 · 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.

Study designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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