j m a t e r r e s t e c h n o l . 2 0 1 5;4(2): [186][187][188][189][190] w w w . j m r t . c o m . b r
Scale-upVertical mill Iron ore a b s t r a c tThe application of vertical mills in regrind circuits is consolidated. This type of mill is now attracting interest in primary grinding applications, due to its higher efficiency when compared to ball mills, which are usually used at this stage. In this study, a coarse sample of iron ore was tested in a pilot scale grinding circuit with a vertical mill. Other three samples of pellet feed had already been tested with the methodology used in this study. The sample of coarse iron ore was characterized in laboratory tests carried out in a small batch ball mill. Selection and breakage function parameters were determined from the laboratory tests. The parameters were then used for simulating the pilot scale tests using Modsim TM software. The model previously implemented in Modsim TM has been successfully applied to represent the vertical mill operated with different ores. The simulations produced particle size distributions that were very close to the actual size distributions, and the predictions were accomplished only by imputing the calibrated parameters from the batch tests, the power draw and the feed size distribution of the pilot tests. The methodology is therefore useful for scale-up and simulation of vertical mills, only requiring laboratory tests that can be carried out in standard laboratory batch ball mills with small amounts of samples.
A cada dia, com o advento da Indústria 4.0, novas tecnologias são disponibilizadas e aplicadas ao Tratamento de Minérios, impulsionadas pela crescente disponibilidade de dados de chão de fábrica. Algumas das oportunidades a serem exploradas estão atreladas à utilização das ferramentas de Big Data, Advanced Analytics, Machine Learning e Inteligência Artificial. No beneficiamento de minério de ferro, nos processos de moagem, os ganhos potenciais oriundos de ferramentas de aprendizado de máquina tendem a ser ampliados quando combinados com modelos matemáticos consagrados, oriundos do conhecimento do processo, sejam eles empíricos ou fenomenológicos. Este artigo apresenta a aplicação de redes neurais artificiais para a predição da granulometria no produto de uma planta de moagem, principal parâmetro de qualidade, combinadas a modelos empíricos que descrevem o processo, visando estabelecer se tais equações podem contribuir para uma melhor performance dos modelos preditivos, de forma a suportar uma melhor e mais rápida tomada de decisão pelo operador da unidade.
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