In recent decades, differential evolution (DE) has been employed to address a diverse range of nonlinear, nondifferentiable, and nonconvex optimization problems. In this study, we introduce an enhanced adaptive differential evolution algorithm to address the inversion problem associated with magnetic data. The primary objective of the inversion process is to minimize the discrepancy between ...
The mining block model is further used in the mine planning process. Life of mine plans, 12month rolling plans and sixweek plans are done. Stockpiling is included in the plans and there is a ...
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 ...
Energy. Rock drilling, blasting, and comminution (crushing and grinding) consume a vast amount of energy in hard rock mines. As mentioned in Sect. 1, statistics from hard rock mines indicates that drilling and blasting consumes 2% and comminution does 53% of the total energy input in the whole production chain from mining to mineral processing (Spathis 2015), see Fig. 1.
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. ...
The mining industry is at a tipping point where sustainability and decarbonization are top items on CEOs' agendas. To achieve a °C climatechange target by 2050, the mining industry will need to reduce direct CO 2 emissions to zero. Encouragingly, our analysis shows that solutions to decarbonize the majority of emissions will become economic within this decade, addressing both Scope 1 ...
Abstract. The use of sinter influences hot metal production substantially and significantly affects an integrated steel mill's total emissions. Sintering of iron ores is an enormous energyintensive and resources consuming process. Introducing a selective waste gas recirculation (SWGR) to the sintering process reduces the energy consumption ...
The model parameters were calibrated for current runofmine ore and then in the simulation applied directly to the other ore. For the second ore, the simulation results vary between the different levels. This is because, at the bulk level, the model assumes minerals do not change their behaviour if ore texture or grinding fineness are changed.
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 ...
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 ...
This can be further shown through the disproportionate amount of CO 2 emitted between the mining process of raw metals such as bauxite and iron ore compared to emissions in the final product (Fig. 3).
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 ...
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 ...
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.
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 ...
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 ...
The theme of the Special Issue is process optimization in mineral processing, a vitally important and comprehensive area of research. Multidisciplinary collaboration is required, since production of saleable concentrate of high quality is the sum of many factors and requires wide understanding of the technical and economical aspects of mineral ...
Flash ironmaking technology is a technique that directly reduces inflight iron ore particles (particle size <100 μm) using a gas reductant. It was developed as an alternative to traditional ironmaking technology with the aim of decreasing energy consumption and CO 2 emissions in the ironmaking process. During the flash ironmaking process ...
The optimization process will be carried out to find the optimum bit dimeter while fulfilling all of the above mentioned criteria. As the final result of the optimization model shows, the bit diameter of in. is capable of achieving the annual ore production of 30 million tonnes. Table 4 depicts other parameters in the optimization run.
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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