Novo modelo de reconciliação para a indústria do ouro

Chieregati, Ana Carolina; Pignatari, Luiz Eduardo Campos; Junior, Homero Delboni

doi:10.1590/s0370-44672011000200017

Cited by 6 publications

(3 citation statements)

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“…Impact or compression, chipping or shearing, and abrasion are considered separately in [12]. Finally, in [13,14] impact, compression, and shear are attributed to three load mechanisms. Impact loading causes impulse accelerations and causes destruction by breaking.…”

Section: Introductionmentioning

confidence: 99%

Building a model of the compression grinding mechanism in a tumbling mill based on data visualization

Naumenko,

Deineka

2023

EEJET

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The object of the study reported here is the grinding process in a tumbling mill where the mechanism of destruction by crushing is implemented, which is caused by the mechanism of compression loading. The compressive interaction in the active zone of the lower end of the granular loading chamber of the rotating drum at the transition of the shear layer to the solid zone was taken into account. The task to determine the parameters of the compressive action was solved, which was caused by the difficulties of modeling and the complexity of the hardware analysis of the behavior of the internal loading of the mill. A mathematical model was built based on data visualization for the compression grinding mechanism. The power of compressive forces was taken as an analog of grinding performance. The initial characteristic of compression was considered to be the mean speed of movement in the central averaged normal cross-section of the shear layer. The influence on the performance of the mass fraction of the shear layer and the reversibility of loading was taken into account. The effect of rotation speed on productivity was evaluated by experimental modeling at a chamber filling degree of 0.45 and a relative size of grinding bodies of 0.0104. The maximum value of energy and grinding productivity was established at a relative speed of rotation ψω=0.6–0.65. The maximum value of the share of the shear layer loading was found at ψω=0.4–0.45. The results have made it possible to establish a rational speed during crushing by compression, ψω=0.55–0.65. This value was smaller in comparison with impact crushing, ψω=0.75–0.9. The observed effect is explained by the detected activation for the shear loading layer during slow rotation, in contrast to the fast rotation for the drop zone. The model built makes it possible to predict rational technological parameters of the process of medium and fine grinding in a tumbling mill by compression.

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Section: Introductionmentioning

confidence: 99%

Building a model of the compression grinding mechanism in a tumbling mill based on data visualization

Naumenko,

Deineka

2023

EEJET

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“…The process of grinding in a tumbling mill is carried out by combining three mechanisms of interaction of grinding bodies with particles of the processed material -impact action, crushing, and abrasion [21][22][23][24]. It is believed that as a result of the impact action, coarse grinding occurs mainly, abrasion makes it possible to achieve fine grinding, and crushing has an intermediate technological result of the action.…”

Section: Introductionmentioning

confidence: 99%

Building a model of the impact grinding mechanism in a tumbling mill based on data visualization

Naumenko

Deineka

2023

EEJET

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A mathematical model was built based on data visualization for the impact grinding mechanism in a tumbling mill, which is mainly implemented during coarse grinding. The determination of impulse interaction parameters is problematic due to the difficulty of modeling and the complexity of hardware analysis of the behavior of intramill loading. Conceptually, it was envisaged to identify the relative dynamic parameters of the impact action as components of the model, which are criteria for the similarity of the loading movement and the grinding process. Impact power was taken as an analog of grinding performance. The initial characteristic of the impact was considered to be the averaged vertical component of the speed of loading movement in the flight zone at the boundary of contact with the shear layer. The formalization of the model revealed the effect on the performance of the mass fraction of the flight zone and the reversibility of loading. The method of numerical modeling was applied, based on experimental visualization of the behavior of granular loading in the cross section of a rotating chamber. The influence of the rotation speed on the performance at a chamber filling degree of 0.45 and a relative particle size of a milling load of 0.0104 was estimated by experimental simulation. The maximum productivity value was found at the relative speed of rotation ψω=1–1.05. A rational condition for impact grinding at ψω=0.75–0.9 has been established. The test proved the effectiveness of using visualization to evaluate dynamic loading interaction analogs. Verification of modeling results was implemented by comparison with the data of the technical standard. The use of similarity criteria unifies approaches to modeling different mechanisms of destruction. The model built makes it possible to predict the rational parameters of the grinding processes by impact, crushing, and abrasion

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“…Publicações internacionais especializadas (Dunbar, 2009;Ramos, 2008;Zoschke, 2001) e trabalhos na área de automação (CODELCO, 2008) A Figura 4 esquematiza o modelo de reconciliação proativa (Chieregati et al, 2011) e seus fatores ou indicadores:…”

Section: Pesquisa E Desenvolvimentounclassified

Planejamento estocástico de lavra: metodologias de simulação, otimização e gestão de risco para a mina do futuro.

Freitas¹

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em operação desde 2004, é a primeira mina de cobre da VALE, está entre as maiores minas brasileiras e será o foco do estudo da presente pesquisa.Palavras-chave: Simulação Estocástica. Otimização. Risco Geológico. Programação Linear. Geoestatística. ABSTRACTBoth operational and economic performance of mining projects are critical for sustaining the demanded production levels, being indispensable a level of governance able to predict and effectively manage the uncertainties and risks inherent to mining process such as geological, operational or financial risks. Recent developments of technologies and concepts of "mine of the future" or "Autonomous mine" indicates a possibility of on-line data acquisition by a number of sensors and the use of such data to generate stochastic simulations for optimization of equipments assets and mineral resource, minimizing risks and costs. Stochastic mining planning recently have been presenting potential tools for this level of risk management in mining, but the response of such approach in various types of deposit is still poorly understood and requires research and development efforts. This research aims to describe these probabilistic mine planning approaches comparing to traditional approaches (deterministic), to define procedures for implementation of these concepts in the industry in an integrated management system, to quantify their performance impacts of a mining operation and to generate information for the academic community and mineral industry technical staff concerned about the future of mining, as the applicability of planning techniques such as stochastic mining planning and discrete event simulation, covering uncertainties related to mineral assets and physical assets (equipments) of the mining operation. Thus, initially will be performed an extensive literature review regarding the proposed theme, highlighting the points of major relevance, thus allowing the development of a management methodology that effectively assists the decision making process regarding asset optimization in open pit mines. Aiming to achieve these goals, pilot tests will be performed at an operating mine in the Carajás Mineral Province-PA. The Sossego Mine, in operation since 2004, is the first VALE copper mine, is among the largest Brazilian mines and will be the focus of the case study of this research.

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Novo modelo de reconciliação para a indústria do ouro

Cited by 6 publications

References 1 publication

Building a model of the compression grinding mechanism in a tumbling mill based on data visualization

Building a model of the compression grinding mechanism in a tumbling mill based on data visualization

Building a model of the impact grinding mechanism in a tumbling mill based on data visualization

Planejamento estocástico de lavra: metodologias de simulação, otimização e gestão de risco para a mina do futuro.

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