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Enregistrement W3158514403 · doi:10.82308/14509

Effect of operating variables in Knelson Concentrators: a pilot-scale study

2010· article· en· W3158514403 sur OpenAlexfundaboutno aff
Sunil Kumar Koppalkar

Notice bibliographique

RevueeScholarship@McGill (McGill) · 2010
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueMinerals Flotation and Separation Techniques
Établissements canadiensnon disponible
Organismes subventionnairesGoldcorpMcGill University
Mots-clésScale (ratio)Environmental scienceGeographyCartography

Résumé

récupéré en direct d'OpenAlex

Knelson concentrators are the most widely used semi-continuous centrifuge separators for the recovery of gold and platinum minerals by gravity methods. Bench scale characterization studies on these units provide information about the occurrence of gold in ore samples (e.g. gold particle size distribution, amount of gold recoverable by gravity) but not about the effect of operating variables for full-scale units such as top size of particle, feed rate, fluidization flow rate and rotation speed. Such work is not easily performed online on full-scale units owing to the inevitable variations in feed quality and to the impossibility of varying operating parameters systematically in the face of production requirements. To attack the problem, a pilot plant comprising a 12-in CD Knelson concentrator, a feed screen and tailing sump-pump arrangement was installed in the grinding-B circuit of Dome Mine, Porcupine Joint Venture (PJV), now Porcupine mine, Goldcorp Inc. Timmins, Ontario. The pilot plant received a bleed from the feed to the full-scale units. The pilot facility was extensively sampled in two campaigns. Fifteen tests were conducted in the first campaign and another sixteen in the second. In all 31 pilot tests, twenty six 30-minute recovery cycle tests, called "short tests" and five, 90-minute recovery cycle tests, dubbed "long tests", were conducted. Measuring recovery was the focus of the "short tests"; measuring the deterioration of recovery over time was the focus of the "long tests". The sampling protocols were designed accordingly. Detailed metallurgical balances were made to analyze the effect of operating and design variables on the performance of 12-in pilot Knelson Concentrator as a step towards understanding full-size units and to study the mechanism of concentrate bed erosion. To gain some fundamental information about the recovery mechanism of the Knelson concentrator, percolation of dense particles in a gangue bed was investigated using a fluidized bed column in the gravitational field. Metallurgical results indicate that operating conditions including feed rate, rotation velocity, fluidization water flow rates and top feed particle size have little impact on the shape of the recovery compared to feed size distribution. A particle size hypothesis was tested using relevant industrial Knelson concentrator data. The analysis showed that a relatively coarse feed would impact negatively on the recovery between 106 and 425 µm. On the other hand, it would make it easier to recover particles between 25 and 106 µm. A finer feed would have a bigger impact on recovery around 25 to 106 µm and would yield a GRG recovery that decreases monotonically with the decreasing of particle size. This would be linked to the natural resistance offered by the gangue particles to the percolation of gold particles, which is significant at a particle size where the gangue is most abundant. The flowing slurry may be compared to a dynamic screen, with openings roughly the order of magnitude of the dominant particle size. This finding is useful for the simulation of the Knelson units, which uses the typical recovery curve "decreasing recovery with decreasing particle size" for estimating gravity recovery and it was thought that the shape of the curve had no impact on the estimation. Now, with this finding, either the fine or coarse recovery curve will be used depending on the size distribution of the gravity circuit feed. For example, for a coarse target grind, the coarse curve could be used and, for a fine target grind, the fine curve could be used.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,032
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,009
Tête enseignante GPT0,254
Écart entre enseignants0,245 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations21
Publié2010
Routes d'admission2
Résumé présentoui

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