WEBDec 1, 2018 · The thermal state parameter (TS) is put forward to describe the stability of sintering state, and the evaluation model based on random forest algorithm was built. The novel softmeasuring models realizes the transparency of sintering bed and they have great significance for improving the optimal control of sintering. 2.
WhatsApp: +86 18203695377WEBJan 1, 2014 · The quality of the iron ore pell et in the pelletizing process is directly rel ated to the a mount of fines in the product. According to this particularity o f the process and considering the ore ...
WhatsApp: +86 18203695377WEBSep 9, 2016 · An intelligent integrated method is proposed for optimizing the head grade and dressing grade in the mining and oredressing management of metal mines, beginning with the establishment of a nonlinear constrained optimization model with the objective function of economic benefit, two constraints comprising of the resource utilization rate .
WhatsApp: +86 18203695377WEBNov 3, 2023 · Optimization of sinter ore alloion is a key step in the steel production process, which has become the most important measure for steel enterprises to effectively reduce cost, improve quality, save energy and reduce emissions. In this paper, the first intelligent recommendation model for the sintering dosing scheme considering cost, .
WhatsApp: +86 18203695377WEBThe optimization model is proposed on the basis of the Litster's granulation model for the prediction of the granulation effectiveness of the sinter feed. ... Iron ore sintering process is the ...
WhatsApp: +86 18203695377WEBMay 31, 2021 · The benefits of ore blending are extending the ore reserve base by utilization of lowgrade, minimizing the need for selective mining hence reducing mining costs and increasing mine production ...
WhatsApp: +86 18203695377WEBOct 14, 2019 · The present paper proposes a model that tools use of metaheuristic and simulation tools contributing to the models found in the specialized literature to solve the problem of open pit mining ...
WhatsApp: +86 18203695377WEBJan 1, 2024 · In the ionic reverse flotation of iron ore at alkaline pH (9 to ), gelatinized starch with NaOH is used as an iron ore depressant (Silva et al., 2019). In this process, a desliming step must be applied to remove particles below 10 µm, which can result in large mineral losses (Gonçalves and Lima, 2020).
WhatsApp: +86 18203695377WEBFeb 28, 2018 · This model was validated by sintering pot test, the simulation results of bed temperature at different depth were very close to the detection results. The sintering pot test shows that the sinter yield and quality indices had little change after the optimisation of fuel distribution, while the solid fuel consumption was decreased by kg t ...
WhatsApp: +86 18203695377WEBMar 1, 2022 · 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 .
WhatsApp: +86 18203695377WEBAug 1, 2011 · Constrained optimization problem (COP) models have been gradually applied to solve the issues in the field of mining production. Mitra and Majumder (2011) established the multiobjective COP model of iron ore sintering process to optimize the key parameters of pressure and temperature, and the genetic algorithm was used to .
WhatsApp: +86 18203695377WEBAug 1, 2022 · Mathematical modeling and distribution characteristics evaluation of fuel particles in iron ore sintering process. Author links open overlay panel ... [20] applied the numerical simulation model to obtain a reasonable average fuel ratio of the sintering beds based on its heat demand or the maximum temperature, without considering the ...
WhatsApp: +86 18203695377WEBMay 1, 2019 · The blending problem is a common research problem in mining and smelting industry. The expression of the blending problem is that different components need to be determined in proportion or ...
WhatsApp: +86 18203695377WEBJul 1, 2019 · Iron ore sintering is one of the most energyconsuming process in steel industry. Accurate prediction of carbon efficiency for this process is beneficial to energy savings and consumption reduction. Considering the sintering process exhibits strong nonlinearities, multiple parameters, multiple operating conditions, etc., a multimodel .
WhatsApp: +86 18203695377WEBNajor and Hagan (2006) used queuing theory to model the stochastic process of a shoveltruckplant system. It analysed idle time and predicted throughput. The numerical results demonstrated that the reduction of queuing could increase production by about 8 per cent. The preceding text has reviewed the optimization techniques used in mining.
WhatsApp: +86 18203695377WEBJan 1, 2018 · 7 2630 1520 5961 3540 235245 Optimization for production and processing of low grade iron ores IJGE 2018 4(1 ): 913. 11. Due to the limitation o f the maximum p roduction ...
WhatsApp: +86 18203695377WEBDec 1, 2008 · A mathematical model for a pilot scale induration furnace for ironore pellets has been presented by Kucukada et al. [15]. Cross and Blot [6] have used the induration process model to evaluate the suitability of the first drying zone with the updraft or downdraft gas flow streams.
WhatsApp: +86 18203695377WEBSep 1, 2021 · Abstract. Tumble Strength (TS) of iron ore sinter, affected by numerous factors, is considered as a vital performance to assess sinter quality for blast furnace (BF) ironmaking. For the sake of providing a credible manipulative strategy of TS in sinter production, we built a mathematical model using artificial neural network, the socalled .
WhatsApp: +86 18203695377WEBAug 21, 2023 · The accuracy and rapidity of total iron content (TFE) analysis can accelerate iron ore production. Although the conventional TFE detection methods are accurate, its detection speed presents difficulties in meeting production requirements. Therefore, this paper proposes a method of TFE detection based on reflectance .
WhatsApp: +86 18203695377WEBFeb 13, 2011 · An oreblending optimization model for the sintering process is an intelligent system that includes iron ore characteristics, expert knowledge and material balance. In the present work, 14 indices are proposed to represent chemical composition, granulating properties and high temperature properties of iron ores. After the .
WhatsApp: +86 18203695377WEBJan 30, 2020 · The first of these levers, including Mining Method Selection, Process Route Selection and Scale of Operation levers are discussed in Mine Planning 1 – Strategy. The Sequence and Scheduling ...
WhatsApp: +86 18203695377WEBAug 1, 2023 · To further realize the optimization of fuel distribution, Zhao et al. [20] and Huang et al. [24] established the optimization model of solid fuel ... influence of fuel distribution optimization on the sintering process of iron ore with biochar substitution. ... are reserved, including those for text and data mining, AI training, and similar ...
WhatsApp: +86 18203695377WEBSep 25, 2023 · Applying hydrogenrich energy such as natural gas to replace coal/coke in the steel industry can efficiently mitigate CO 2 emissions and accelerate the process of carbon injection sintering technology has been widely used in industry for more than ten years, but the replacement ratio of solid fuels by hydrogenrich gas has .
WhatsApp: +86 18203695377WEBIron ore sintering is a pretreatment step of smelting that agglomerates the iron ore using surface melting of green pellets to improve the quality of the steel product. The sintering process not only improves the quality of steel products, but also releases CO and CO2 gases, evaporates moisture, and improves the reducibility of iron ore to ensure smooth .
WhatsApp: +86 18203695377WEBAug 1, 2022 · The mixture in the granulation experiment is composed of fine ores, concentrates, coke breeze, returns and quicklime. The mixing scheme is listed in Table, when the blend is dominated by hematite, the coke powder content is less than 5%, and the coke powder content is raised with the addition of limonite. in this work, the .
WhatsApp: +86 18203695377WEBNov 16, 2011 · Many scholars have performed various researches on the reduction of blast furnace production cost [12–24]. Helle et al. [12] established an optimization model of blast furnace ironmaking process with biomass as auxiliary reductant for the blast furnace, and the production cost minimization was taken as the objective.
WhatsApp: +86 18203695377WEBMar 1, 2020 · H 2rich gas has been widely regarded as a promising energy to substitute fossil energy in iron ore sintering process for CO 2 reduction. This investigation mainly focused on researching the influences of H 2rich gas injection parameters over sintering bed on sintering performance, and elucidated the potential function mechanism through .
WhatsApp: +86 18203695377WEBMar 1, 2012 · An oreblending optimization model for the sintering process is an intelligent system that includes iron ore characteristics, expert knowledge and material balance. In the present work, 14 indices ...
WhatsApp: +86 18203695377WEBMar 6, 2024 · Proportioning is an important part of sintering, as it affects the cost of sintering and the quality of sintered ore. To address the problems posed by the complex raw material information and numerous constraints in the sintering process, a multiobjective optimisation model for sintering proportioning was established, which takes the .
WhatsApp: +86 18203695377WEBMay 5, 2016 · An energy intensity optimization model for production system in iron and steel industry. ... With such a mining strength contrasted with such low reservestoproduction rate, the shortage of coal resources is obvious. ... A hybrid justintime soft sensor for carbon efficiency of iron ore sintering process based on feature extraction of .
WhatsApp: +86 18203695377WEB1. 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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