A pilot scale test program was conducted to evaluate the size reduction performance of HPGR (High Pressure Grinding Rolls) operating in different circuit configurations. For this purpose a series of pilot-HPGR locked cycle tests were performed with medium and high pressures to simulate the HPGR operation in closed circuit with a screen, with partial product recycle, and with edge recycle. Logged instrumentation data such as roller speed, working gap, operating pressure, and power draw were used in combination with material test results such as particle size distributions, flake density, flake thickness, and bulk density of the feed for calculation of HPGR operational parameters. The paper reports the results from the pilot HPGR test work. The analysis reported herein includes an evaluation and comparison of different circuit configurations of the HPGR operation in terms of energy consumption, capacity and product fineness and also discusses the benefits of various circuit arrangements.
A usina do Sossego processa um minério sulfetado de cobre e ouro. A etapa de flotação compreende estágios rougher, cleaner e scavenger do cleaner, sendo que os concentrados das etapas rougher e scavenger do cleaner passam por um estágio de remoagem antes de seguir para a etapa cleaner. Ao longo dos primeiros anos de operação da usina, observou-se que a granulometria de alimentação da remoagem estava consistentemente mais fina que o esperado, mesmo considerando-se que a granulometria de alimentação da flotação (etapa rougher) estava dentro dos parâmetros esperados e significativamente mais grossa que o concentrado rougher. Este trabalho apresenta os resultados das amostragens de campo para identificar a origem de tal diferença e quantificar a mesma, assim como ilustra os impactos de tal diferença na etapa de remoagem do concentrado. PALAVRAS-CHAVE:Flotação, Remoagem, Cobre, Classificação. EVALUATION OF THE ROUGHER FLOTATION FEED AND CONCENTRATE SIZE DISTRIBUITION AT THE SOSSEGO ABSTRACTSossego plant processes a copper and gold sulfide ore. The flotation process comprises the rougher, cleaner and scavenger of cleaner stages. The concentrate from the rougher and scavenger of cleaner stages goes through a regrinding process before being fed into the cleaner stage. During the first years of operation, it was noticed that the regrinding feed size was consistently finer than expected, even though the flotation feed size (rougher stage) was within the planned parameters and significantly coarser than the concentrate from the rougher stage. This paper describes the results of field samplings to identify the factors behind such difference in size and to quantify it. Moreover, it shows the impacts of such size difference on the concentrate regrinding stage.
In the beneficiation of compact Itabirites, crushing and grinding account for major operational and capital costs. As such, the study and development of comminution circuits have a fundamental importance for feasibility and optimization of compact Itabirite beneficiation.This work makes a comparison between comminution circuits for compact Itabirites from the Iron Quadrangle. The circuits developed are: a crushing and ball mill circuit (CB), a SAG mill and ball mill circuit (SAB) and a single stage SAG mill circuit (SSSAG). For the SAB circuit, the use of pebble crushing is analyzed (SABC). An industrial circuit for 25 million tons of run of mine was developed for each route from tests on a pilot scale (grinding) and industrial scale. The energy consumption obtained for grinding in the pilot tests was compared with that reported by Donda and Bond.The SSSAG route had the lowest energy consumption, 11.8kWh/t and the SAB route had the highest energy consumption, 15.8kWh/t. The CB and SABC routes had a similar energy consumption of 14.4 kWh/t and 14.5 kWh/t respectively.
ResumoO modelo de misturador perfeito (PMM) leva em conta, tanto as características do equipamento, como as do minério. As características do minério são representadas pela função distribuição de quebra. Tal função pode ser determinada através de um método laboratorial proposto pelo JKMRC ou de funções padronizadas. O presente trabalho descreve o processo de modelagem matemática do circuito de moagem de Carajás, utilizando o software JKSimMet. Como resultado, foi possível avaliar a qualidade do ajuste do modelo em dois cenários: 1) utilizando a função distribuição de quebra-padrão do programa; 2) utilizando a função distribuição de quebra determinada para a alimentação do circuito de moagem. A partir desta análise, determinou-se, no ajuste do PMM e, em particular, na função taxa de quebra ou cinética de fragmentação, a infl uencia da função distribuição. Palavras-chave:Moagem, modelagem, minério de ferro. Abstract The perfect mixing model (PMM) is based on parameters derived from
The Santa Rita Mine, located in the State of Bahia, was the first Mirabela Mineração operation in Brazil. Started in 2009, the nickel sulphide processing plant has undergone constant modifications, aiming to adapt to the changes in the ore. Main modifications included autogenous grinding converted to semi-autogenous, as well as the installation of a desliming stage aiming to remove ultrafine minerals which reduced the nickel recovery in flotation. A full survey and ore characterization campaign was carried out to assess alternatives for increasing grinding circuit capacity. Experimental data were balanced and used to calibrate mathematical models which were the basis for simulation exercises. This paper describes the main aspects related to circuit modeling and simulation, as well as assessing alternatives for increasing the grinding circuit capacity.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.