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Record W2265701030

Optimising Regrinding Chemistry for Pyrrhotite Flotation

2008· article· en· W2265701030 on OpenAlexaboutno aff
Xiangfei Ye, Sabina Gredelj, Stephen Grano

Bibliographic record

VenueAdelaide Research & Scholarship (AR&S) (University of Adelaide) · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicMinerals Flotation and Separation Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPyrrhotitePentlanditeMetallurgyFroth flotationMineralGrindingMineral processingBeneficiationAdsorptionGeologyPyriteMineralogyChemistryMaterials science
DOInot available

Abstract

fetched live from OpenAlex

Changes in the surface properties of minerals with grinding and regrinding play a key role in mineral flotation performance, being recognised in industry through the development of the IsaMill and Stirred Mill Detritor. This paper describes some initial results in a larger study which attempts to quantify changes in the flotation properties of sulphide minerals with regrinding using different mills. Pyrrhotite has been chosen in the current study due its importance in the recovery of Platinum Group Minerals and in its separation from pentlandite in Sudbury basin nickel ores. This current paper focuses on the results obtained using a Magotteaux Mill only. Factors which affected pyrrhotite flotation were particle size, grinding media contamination, and exposure of new mineral surface. Pyrrhotite recovery decreased with size reduction from 90%, achieved before regrinding, to 77%, 64%, 30% and 7% after regrinding with stainless steel medium to d{80} values of 60, 40, 20 and 10 m, respectively. Contact angle measurements were applied to quantify surface hydrophobicity as a function of particle size and the B.E.T. method was used to obtain the surface area. Increased collector addition only partially restored pyrrhotite recovery. The surface of the pyrrhotite mineral was changed by regrinding in a way that hindered collector adsorption onto the new mineral surface. A further dramatic depression of pyrrhotite recovery when using mild steel regrinding medium demonstrated that there was an additional contribution to pyrrhotite depression from media contamination in this case.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.287
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.141
GPT teacher head0.342
Teacher spread0.201 · 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 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
Published2008
Admission routes1
Has abstractyes

Explore more

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