Utilização de simulação de elementos discretos (DEM) para avaliação de parâmetros da teoria da amostragem.

Abstract

que além de orientadora, foi amiga, e me abriu as portas do universo magnífico da disciplina de Amostragem.Aos amigos da Universidade de Newcastle (Austrália), que se dedicaram a me ensinar ferramentas específicas para desenvolvimento do trabalho.À ESSS que disponibilizou gratuitamente a licença do software Rocky DEM para realização do trabalho.Aos colegas da AngloGold Ashanti, pelo fornecimento dos dados e informações, além de todo apoio e compreensão ao longo de todo caminho percorrido. RESUMO MAGALHÃES, M. F. Utilização de simulação de elementos discretos (DEM) para avaliação de parâmetros da teoria da amostragem. 2022. Tese (Mestrado em Ciências) -

Hydrochemistry, Elements Distribution and Their Potential Recoveries in Gold Metallurgical Treatment Tailings Dams

“…Since 1986, waste from underground Au metallurgical plants has been deposited in this structure. As the workflow reviewed by [8] identified, the waste for these structures has different origins: (a) waste from a flotation plant and (b) waste from the leaching stage, both derived from freshly underground mined ores [53,54]. According to [55], solid tailings from this dam contain minerals such as quartz, muscovite, and biotite, as well as phases formed during the processing stages, including gypsum, jarosite, and iron antimonate.…”

The Use of DEM for Optimising an Industrial Vezin Sampler Operation

“…Despite a few other relevant research works, e.g., refs. [8][9][10][11][12] and our own recent article [13], beyond these studies, the literature on sampling system investigation using DEM remains limited.…”

“…Aiming to eliminate the need to install two primary samplers, and to avoid the generation of IWE, the best and most economical solution was to design a single sampling system with two opposing cutters, causing both feeders to discharge the material at the same point. This design eliminated the need for weighting the mass fed by the two feeders when calculating the plant's feed content [12]. Furthermore, the installation of a vezin-type secondary sampler eliminated the need for handling large sample masses in the laboratory and, consequently, the unnecessary generation of additional preparation errors, as the rotary method, among all the sample division methods, generates the smallest deviations [14].…”