Recent developments in modelling and optimization approaches for the production of mineral and energy resources have resulted in new simultaneous stochastic optimization frameworks and related digital technologies. A mining complex is a type of value chain whereby raw materials (minerals) extracted from various mineral deposits are transformed into a set of sellable products, using the ...
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The dynamic path of the monthly timeseries of iron ore imports is affected by many factors, and the data generation process is difficult to reflect accurately in a timeseries model. To predict China's import tonnages of iron ore, in the present work, an EMDNARNNARIMA model based on the idea of decompositionintegration is proposed.
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Enumeration optimization algorithm of production scheduling. Set a wide enough range of ore production capacity [q low, q up], and the optimal production capacity must be within this ...
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Block model and estimation of iron ore grades were ... it is a capital process that involves ... We find that domestic firms in China's iron ore mining industry that conduct RD are on average 0. ...
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Our solutions for online analysis (elemental and mineralogical) directly in the mine enable ore sorting and fast counteractions on changing iron ore composition to produce the optimal blend for downstream processing. This saves mining operations multiple millions in USD every month since iron ore beneficiation increases significantly the costs ...
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Intensification of the iron ore sintering process was approached by injecting hydrogenrich gas into the sinter bed. The location of the injection was critical to the pyrolysis of the solid fuel, and the SOx and NOx emissions. ... An advanced analyticsbased hot metal silicon prediction and optimization model has also been successfully ...
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The annual production scheduling of open pit mines determines an optimal sequence for annually extracting the mineralized material from the ground. The objective of the optimization process is usually to maximize the total Net Present Value (NPV) of the operation. Production scheduling is typically a Mixed Integer Programming (MIP) type problem containing uncertainty in the geologic input data ...
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In this study, the following leaching parameters were tested to optimize the gold recovery for the first time from an oxide ore using the response surface methodology: initial thiocyanate ...
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During the mining, crushing, beneficiation and transportation of rich Mn ores, about 30% of the mined ores are converted into manganese ore fines with low Mn grade (Singh et al., 2011). In India, almost half of manganese ore resources are ferruginous in nature (Singh et al., 2011, Singh and Biswas, 2017).
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1. Introduction. After the last commodities supercycle of iron ore, mining companies started to have as their main objective the fulfillment of ore quality goals and reduction of the variability of certain control parameters (such as the grade of iron, silica, manganese, and particle size range) without detriment to the production volume.
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DOI: /SX(15)301035 Corpus ID: ; Optimization of Cooling Process of Iron Ore Pellets Based on Mathematical Model and Data Mining article{Yang2015OptimizationOC, title={Optimization of Cooling Process of Iron Ore Pellets Based on Mathematical Model and Data Mining}, author={Guiming Yang and Xiaohui Fan and Xuling Chen and Xiaoxian Huang and Xi Bing Li}, journal ...
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1 Introduction. This paper introduces a new microscopic operationallevel mining optimisation problem called the Mine Excavator Timetabling (MET) problem, which was motivated by realworld research projects with the cooperation of an iron ore mining company in Australia. The Introduction section is outlined as follows.
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The multisegment threedimensional ore drawing model was used in the experiment. According to the similarity theory, the stope structure parameters, ore and rock particles, and the total amount of ore and rock at the time of mining were simulated. The model size was length × width × height = 800 mm × 140 mm × 1100 mm.
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iron ore is expected to rise by more than 200 million tonne per year to meet the internal demand export. This additional requirement of iron ore will need beneficiation of low grade ore/fines to get the major portion of increased demand. This paper deals in brief to use of available methodologies for beneficiation of iron ore in Indian context.
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The main aim of the study is pit optimization for improved NPV and life of mine in heterogeneous iron ore deposit. The aim was achieved by the following specific objectives: 1. Analysis of the pit economics by generating nested pit shell through varying the revenue factor from to 2.
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The mining area has a total area of 1400 ha, and the total ore production has been estimated to be 90 million tons per year, with a grade of approximately % iron. The mining process starts with cable shovels ( 7495) that dig and load the material directly into the mobile size rig (MSR) and mobile crusher rig (MCR) systems.
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To realize optimization of the manualbased decisionmaking process described above, Ref. [12] proposes a hierarchical optimization structure of different time scales that aims at optimizing the global production indices of mineral processing, as shown in Fig. optimization structure consists of four layers: optimization of the target values for monthly global production indices ...
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The reduction of the iron ore pellets is described using a specific grain model, reflecting the transformations from hematite to iron. The shaft furnace is modeled as a set of interconnected onedimensional zones into which the principal chemical reactions (3step reduction, methane reforming, Boudouard and water gas shift) are accounted for ...
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A twodimensional mathematical model of the iron ore sintering process was developed which incorporated most significant thermal phenomena and chemical reactions. With FLUENT. Acknowledgments. The authors thank the Hunan Provincial Innovation Foundation of China (No. CX2013B065). The authors also thank the anonymous referees for comments on ...
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Benefits. An integrated approach from minetoprocess increases production, minimizes costs, and maximizes profitability of your overall operation. Close collaboration with operations ensures alignment with site objectives, and our training of site personnel allows for successful overall implementation. In brownfield operations, production with ...
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At the beginning of the process, iron ore is transported from the mines to the terminal by rail cars towed by a locomotive. ... Mehendiratta, V. Solving the Sotckyard Optimization Trilemma. Mining Magazine. ... Botter, ; Robles, Optimization model for integrated port terminal management. Trends Marit. Technol. Eng. 2022, 2, 7583 ...
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In the iron ore sintering process, it is desirable to maximize the productivity and quality of sinter while minimizing the fuel consumption for any given raw material (iron ore, flux and solid fuel) quality. However, given the complexity of the sintering process and the large number of manipulated variables, it is not practical for operators to identify appropriate set points for the ...
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to improve the fragmentation of the ore is by changing the drillingandblasting design parameters. It of course increases the mining costs, but at the same time decreases the costs of the following processes, which are normally significantly higher. Therefore, authors of this article propose a new way of optimization of
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The sintering process not only improves the quality of steel products, but also releases CO and CO 2 gases, evaporates moisture, and improves the reducibility of iron ore to ensure smooth operation of the blast furnace. These factors are related with variables such as temperature and flux, so optimization is essential.
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The size of the model is as follows: the length in the X direction is m, the length in the Y direction is m, and the length in the Z direction is the element thickness and is m; that is, the overall ore body model is 2 m × 2 m × m. The four boundaries of the blasting numerical model were all set as nonreflecting boundaries ...
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Iron ore direct reduction is an attractive alternative steelmaking process in the context of greenhouse gas mitigation. To simulate the process and explore possible optimization, we developed a systemic, multiscale process model. The reduction of the iron ore pellets is described using a specific grain model, reflecting the transformations from hematite to iron. The shaft furnace is modeled as ...
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Geometallurgy utilises geological and mineral processing information to capture the spatial metallurgical characteristics of the ore body. Mineralogybased geometallurgical modelling employs quantitative mineralogical information, both on the deposit and in the process. The geological model must describe the minerals present, give their ...
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Iron Mining Process. From blasting to crushing to separation more than 85% of the iron mined in the United States is mined in northeastern Minnesota to make our nation's steel. Blasting Taconite is a very hard rock. Using explosives, the taconite is blasted into small pieces. ... The iron ore is separated from the taconite using magnetism ...
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The first stage model is to minimize the ore transportation cost under the ... optimization in the mining process, ..., 2012. Properties of Ansteels iron ore resources and their high ...
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STRA TEGIES FOR PROCESSING LO WGRADE IRON ORE MINERALS 367. Figure 4. Photomicrographs of (a) +300 m particles and (b) −300/+212 m particles. embedded in epoxy (light gray). Gangue (dark gray ...
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Cooling process of iron ore pellets in a circular cooler has great impacts on the pellet quality and systematic energy exploitation. However, multivariables and nonvisualization of this gray system is unfavorable to efficient production. Thus, the cooling process of iron ore pellets was optimized using mathematical model and data mining ...
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The sintering and oreforming process of iron ore powder is divided into three steps: solid phase reaction, liquid phase formation, and condensation, crystallization and consolidation [11][12] [13 ...
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A material supplier from Belgium would like to produce limestone powder for his custome...
India is rich in various mineral resources and it is an important mineral processing market
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