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Record W4242620754 · doi:10.11159/mmme20.137

An investigation on flotation process of low-grade Niobium/Tantalum ore

2020· article· en· W4242620754 on OpenAlexvenueno aff
Willie Nheta, Brian Ruwizhi

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicMinerals Flotation and Separation Techniques
Canadian institutionsnot available
FundersDepartment of Higher Education and TrainingUniversity of Johannesburg
KeywordsNiobiumTantalumMetallurgyMaterials scienceProcess (computing)Environmental scienceComputer science

Abstract

fetched live from OpenAlex

In this paper, the characterization and flotation performance of AM810 Hydroxamic acid on Niobium (Nb) and Tantalum (Ta) ore was investigated. The ore was characterized using X-ray fluorescence (XRF) and X-ray diffraction (XRD). Flotation experiments were carried out in a 3 litre Leeds Barker laboratory flotation cell. It was observed that the ore was a low grade Nb-Ta ore constituting 0.01% Nb and 0.04% Ta interlocked in 32.42% Si matrix together with other gangue minerals such as Al, Na, K, Fe and Ca minerals. Major mineral phases bearing Nb and Ta were Ilmenorutile [FeO (Nb,Ta) 2 O 5 .5TiO 2 ], Pyrochlore [(Na,Ca,Ce) 2 (Nb,Ta) 2 O 6 (OH,F)] and Tapiolite [(Fe,Mn)(Nb, Ta) 2 O 6 ]. Milling tests conducted at varying times show that the ore was fairly hard producing 80% passing 150m after milling for 40 minutes in a laboratory rod mill. Flotation tests indicated that at a grind of 80% passing75m and collector dosage of 2000g/t (AM810 Hydroxamic acid), a flotation concentrate assaying 0.10% Nb and 0.13% at a recovery of 77.02 and 82.74% respectively was obtained.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.466

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 communication0.0000.000
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 head0.011
GPT teacher head0.226
Teacher spread0.215 · 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 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

Citations3
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the World Congress on Mechanical, Chemical, and Material EngineeringSame topicMinerals Flotation and Separation TechniquesFrench-language works237,207