Processamento e análise digital de imagens aplicados aos estudos de liberação mineral

• Ano de defesa: 2010
• Autor(a) principal: Itamar Daniel Delbem
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Minas Gerais; UFMG
• Palavras-chave em Português: Lliberação mineral; Fragmentação; Análise digital de imagens; Engenharia metalúrgica; Tecnologia mineral; Processamento de imagens Técnicas digitais
• Link de acesso: http://hdl.handle.net/1843/BUBD-9WUJ6K

The present work is focused in the development of a digital image processing and analysis system, the LibMin, idealized for performing mineral liberation analysis. The system allows analyzing a large number of mineral particles classified by size. Several features can be evaluated for each particle class size: the proportional areal composition of each fase in each particle; the classification of each particle in composition classes; the proportional amount of free mineral particles; the liberation spectra (by class size) for the mineral of interest. The analysis in the LibMin are obtained by a SEM (scattered electron microscope) taken from resin mounted and polished sections. To evaluate the LibMin performance it was developed a case study evolving two different types of ores. A low grade copper ore and a typical iron ore from the Iron Quadrangle. The results show that the system is very sensitive. It was possible to identify and quantify all mineral fases present in both types of ores. For the iron ore It was performed a variance analysis to define the analytical accuracy of the liberation spectra data. This analysis established the minimum number of particles necessary to define with maximum precision the liberation degree for each particle size class evaluated. It was observed that as larger is the particle size as lager is the number of particles to be analyzed for reaching the desired accuracy. The relevance of the present work consists in the fact that the liberation spectra is the capital information necessary to define the ideal processing route for an ore and also it is fundamental for the selection of ideal processes and for the control of products in a mineral processing plant.