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Record W2151384296

Physico-Chemical Characteristics And Industrial Potentials Of Lepidolite From Ijero-Aramoko Pegmatite Field, Southwestern Nigeria.

2014· article· en· W2151384296 on OpenAlexaboutno aff
Akinola, O Oluwatoyin, Okunlola, Akinola OLUGBENGA, Obasi, A Romanus

Bibliographic record

VenueInternational journal of scientific and technology research · 2014
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsPegmatiteMineralogyGeochemistryMetallurgyGeologyAnalytical Chemistry (journal)ChemistryMaterials scienceEnvironmental chemistry
DOInot available

Abstract

fetched live from OpenAlex

Physico-chemical characteristics and industrial potentials of lepidolites from Ijero-Aramoko pegmatite fields were investigated . Systematic mapping indicates that the lepidolite is associated with steeply inclined pegmatite intruded into the basement rocks of gneisses and schistose assemblages that are in places pulsed with isolated Pan-African granite. The lepidolite has a layered structure, a perfect unidirectional cleavage and equigranular texture. Thirty lepidolite samples were collected from the pegmatite fields and anaylsed using the Inductively Coupled Plasma-Atomic Emission Spectrometry (ICP-AES) method .in the Activation Laboratories, Ontario Canada. The results of the analysis indicate that the silica (SiO 2) content in the lepidolite ranges between 49.43 and 50.16% in Oke-Asa, 49.49-50.43% in Oke-IgboAba and 57.87-57.81% in Ijero-Ekiti mineralized areas . Average Al 2O3 contents in these three areas are 27.83%, 23.02% and 28.34% respectively. In the same trend, K 2O has the following average values 10.06%, 9.41%, and 5.86% while MgO, CaO and TiO 2 values are generally less than 0.3% in all the samples. Trace element composition reveals higher Li, Be, Cs and Rb contents relative to Ta, Nb and Sn. The average Li values of 1859 ppm, 1778 ppm, and 1656 ppm are recorded for Oke-Asa, Oke-Igbo Aba and Ijero Ekiti respectively. The high contents of SiO 2, Al 2O3, and K 2O as well as the unusual amount of lithium and microcline reveal the general geochemical characteristics of the lepidolite on which its industrial applications are based. Lithium compounds form sources of raw materials in the pharmaceuticals and in the making of energy lithium batteries and serves as an alloy of aluminium, magnesium and zinc.The physical tests reveal high specific Gravity (2.69-2.80; ca. 2.74), compressive strength (45.84-50.14; ca. 48.93) N/mm 2 , wet density (2.30 to 2.65; ca. 2.39) g/cm 3 , and less water absorption capacity (0.21 to 0.35; ca.0.26) %, . These physical characteristics make the lepidolites suitable for use in various industrial areas where lithium compounds are employed.

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 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 score0.303
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.039
GPT teacher head0.304
Teacher spread0.266 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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