Banca de QUALIFICAÇÃO: FELIPE TEIXEIRA DE OLIVEIRA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : FELIPE TEIXEIRA DE OLIVEIRA
DATE: 16/12/2022
TIME: 10:00
LOCAL: Campus Araxá
TITLE:

GEOMETALLURGICAL MULTIPLE REGRESSION MODEL FOR PREDICTING THE PERCENTAGE OF PHOSPHORUS(P) FROM APATHITES FROM CHEMICAL DATA OBTAINED BY X-RAY FLUORESCENCE.

KEY WORDS:

Geometalurgical model; linear regression; phosphate flotation; MLA

PAGES: 49
BIG AREA: Engenharias
AREA: Engenharia de Minas
SUBÁREA: Tratamento de Minérios
SPECIALTY: Métodos de Concentração e Enriquecimento de Minérios
SUMMARY:

In mineral processing as important as determining the percentage of each oxide (chemical analysis) present in the ore is to know which minerals contain each oxides as well as the proportion of each mineral. A detailed mineralogical study that quantifies each mineral present in the sample as well as the granulometry and release of each mineral, this is determinant for the mineral process route, influencing the reagents used and finally on the metallurgical recovery of the plant. Despite the importance of the quantification of minerals present in ore, this is a complex work that involves several professionals and that requires working days which increases related costs and thus limits the amount of samples that can be analyzed by this method, so it is usual in the mining industries to use on a large scale only chemical analysis information,  since there are several methods of chemical analysis with low cost and that does not require much recourse which allows the analysis of a large number of samples with rapid responses, something that is crucial in the mineral industrial.

Given the limitation of the number of samples by mineralogical analysis, the need for a large volume of samples for determination of plant reserve and operation and that there is a correlation between oxides and minerals, it is possible to create a model that from chemical analysis with the percentage of distinct oxides can predict the mineralogical composition of a given sample.

So, this work aims through chemical analysis made by x-ray fluorescence and mineralogical analyses by MLA to create a model (linear regression) that determines the percentage of P2O5 that comes from apatite minerals, which will help better understand the results of metallurgical recovery in flotation tests.

BANKING MEMBERS:
Presidente - NATAL JUNIO PIRES
Interno - MARIO GUIMARAES JUNIOR
Interna - MICHELLY DOS SANTOS OLIVEIRA
Externo ao Programa - LEANDRO HENRIQUE SANTOS