GEOMETALLURGICAL APPROACH FOR QUALITY CONTROL OF IRON ORES FOR AGGLOMERATION AND REDUCTION PROCESSES (original) (raw)

Building a Geometallurgical Model in Iron Ores using a Mineralogical Approach with Liberation Data

A geometallurgical model is currently built in two different ways. The first and the most common way relies on geometallurgical testing, where a large number of samples are analysed for metallurgical response using small-scale laboratory tests, eg Davis tube testing. The second, mineralogical approach focuses on collecting mineralogical information over the orebody and building the metallurgical model based on mineralogy. At Luleå University of Technology, Sweden, the latter method has been adopted and taken further in four ongoing PhD studies. The geological model gives modal composition by the help of element-to-mineral conversion and Rietveld X-ray diffraction. Texturally, the orebody is divided into different archetypes, and liberation measurements for each of them are carried out in processing fineness using IncaMineral, a SEM-based technique. The grindability and liberation spectrum of any given geological unit (sample, ore block, domain) are extrapolated from the archetypes. The process model is taken into a liberation level by mass balancing selected metallurgical tests using the particle tracking technique. The approach is general and can be applied to any type of ores. Examples of ongoing studies on iron and massive sulfide ores are given.

Mineralogical and morphometric aspects of the rock analysis as the basis for choosing a scheme for ore preparation

E3S Web of Conferences, 2020

The complexity of deep processing of fine-grained and refractory mineral raw materials is determined by the difficulty of disclosing aggregates of ore components during disintegration and extracting them into commercial products of standard quality. The main task of the disintegration of such ores is to destroy the object along the phase boundaries without overgrinding while minimizing energy costs. To implement selective disintegration, a precise study of the properties of the mineral components of the ore is necessary. However, there are no systematic data on the effect and relationship of the mineralogical-technological, structural-textural and physical-technical properties of minerals, rocks and ores with the processes of selective disintegration. The article presents the results of computer microtomographic and optical-microscopic studies of the structural and textural characteristics of typical sulfide copper-nickel ores using a SkyScan-1173 microtomograph from Bruker (Belgium...

Geometallurgy and automated mineralogy - A tool for ore deposit evaluation, prediction of processing problems, and scoping process improvements ahead of and during mining EXPERIMENTAL AND ANALYTICAL METHODS

Geometallurgy, 2018

Increasing competition in the minerais industry and fluctuating coramodity prices require new ways of saving energy, lime, and general operational costs. A good understanding of physical processing or pre-processing streams that can potentially cut these costs requires detailed analyses of chemical and physical behaviours and processing responses during rainera]. processing. It is very useful to perform a detailed mineralogical and micro-textural characterization of materials (ore, tailings, and waste) that addresses, among other parameters, particle and grain sizes, as well as particle densifies. The choice and/or corabination of the 'best' processing approaches is crucial for processing efficiencies, and can be established and verified by using automated mineralogy with the associated software. A sample of low-grade iron ore from El Volcan, Mexico, serves as an example to demonstrate in a step-by-step approach how QEMSCAN® analyses provide processing information. Elements under consideration include iron, phosphorus, and sulphur.

The Effect of Concentrate/Iron Ore Ratio Change on Agglomerate Phase Composition

Metals

The work is focused on studying the influence of the ratio of concentrate to iron ore on the phase composition of the iron ore agglomerate. The concentrate has significantly higher iron content than used iron ore, and is a determining factor, which influences the richness of the batch and consequently, the richness of the agglomerate. The increased iron content in the agglomerate can be achieved by adjusting the raw material ratio in which iron ore materials are added to the agglomeration mixture. If the ratio is in favor of iron ore this reflects in lower iron content in the resulting agglomeration mixture. If the ratio is in favor of a concentrate, which is finer, the fraction share of less than 0.5 mm will be increased, the permeability of the batch will be reduced, the performance of the sintering belt will decrease and the presence of solid pollutants will increase. The possibility of concentrate replacement by iron-rich iron ore with granulometry similar to that of concentrate...

The Influence of the Degree of Iron-Ore Enrichment on it’s Metallization Parameters

International Letters of Chemistry, Physics and Astronomy, 2013

Have been developed a scheme of enrichment (benification) of magnetite iron-ore concentrates with total content of Fet = 31% in ore at magnetic separator and obtained a superconcentrate with Fet = 69,50%. Experimentally determined that the reduction reaction degree of Fe by coal increases linearly with increasing of the content of Fe in concentrate. Certainly it has positive influence of decreasing the content of more difficult for reduction and poor magnetic iron containing components in the processing of wet magnetic separation (WMS). Almost all iron are in the form of good to reduce magnetite in the superconcentrates and enrichment of concentrate accompanying with growth of specific surface.

Study for Evaluation and Optimization of Mineral Composition and Structure of Iron Ore Granulation in Sintering Process

2012

The characterization of iron ore particles is vital importance for the studies of the mineral composition. The specific surface area of iron ore particles can be measured by laser diffraction, and mathematical models (based on the size distribution). Particle size fractions and chemical composition were determined of several types of iron ore (symbolically marked A, B, C, D, E, F). These features have direct influence on the sintering process by particle size analysis, permeability, reducibility, porosity, CaO/SiO ratio, influence of MnO in sinter. The granulation experiment show that these minerals (more than 50% with diameters of <1mm) can be successfully used in the sintering process, or by alloying with other minerals in Europe. Large irregularly shaped and adhesive particles can get a higher efficiency of granulation easily. The usage of iron ore with big and rough particles can improve the permeability while the iron ore with smooth and sphere particles has poor ability of ...

Test Methods for Characterising Ore Comminution Behavior in Geometallurgy

2014

Comminution test methods used within mineral processing have mainly been developed for selecting the most appropriate comminution technology for a given ore, designing a grinding circuit as well as sizing the equipment needed. Existing test methods usually require comparatively large sample amounts and are time-consuming to conduct. This makes comprehensive testing of ore comminution behavior – as required in the geometallurgical context – quite expensive. Currently the main interest in the conduct of comminution test lies in the determination of particle size reduction and related energy consumption by grindability test methods, which provide the necessary information about mill throughput. In this procedure mineral liberation is regarded as a fixed parameter due to missing this information in ore characterization as well as a lack of suitable comminution models. However, ignoring the connection between particle size and mineral liberation prevents the scheduling and controlling of...