An intelligent decision-making strategy based on the
An intelligent decision-making strategy based on the forecast of the abnormal operating mode for the iron ore sintering process is presented in this paper. First, a fuzzy rule-based model is used to construct the forecast model of operating mode, of Recognizing the operating modes is important to improve the quality and quantity of the sinter ore. An operating mode recognition method based on the Operating mode recognition of iron ore sintering process
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Operating Mode Recognition Based on Fluctuation Interval
Operating Mode Recognition Based on Fluctuation Interval Prediction for Iron Ore Sintering Process. Abstract: The operating mode is an essential factor affecting product quality Iron ore sintering is the process of heating iron ore fines, coke fines, and other materials to produce a semi-molten mass that solidifies into porous pieces of sinter Modeling and optimization method featuring multiple operating
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Operating Performance Improvement Based on Prediction and
How to improve the operating performance of the iron ore sintering process has always been a problem that operators are committed to solve. An operating performance An operating mode recognition method based on the clustering of time series data for the iron ore sintering process is presented in this paper. First, the Operating mode recognition of iron ore sintering process based
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An intelligent decision-making strategy based on the forecast of
Witold Pedrycz d e f Add to Mendeley https://doi/10.1016/j.jprocont.2020.11.001 Get rights and content Abstract The The intelligent ore blending model with an intelligent algorithm as the core is studied. It has a decisive influence on the development of China’s steel industry. This paper first analyzes the Research Progress of Intelligent Ore Blending Model
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An intelligent decision-making strategy based on the forecast of
The abnormal operating mode of the iron ore sintering process will produce sinter ore with low yield and poor quality. It is of high economic value to ensure An operating mode recognition method based on the clustering of time series data for the iron ore sintering process is presented in this paper. First, the Operating mode recognition of iron ore sintering process based
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Detailed Modeling of the Direct Reduction of Iron
This paper addresses the modeling of the iron ore direct reduction process, a process likely to reduce CO2 emissions from the steel industry. The shaft furnace is divided into three sections (reduction, However, these models were established in a single reducing atmosphere of H 2 [14,15] or CO [16,17], and few studies have been conducted on the flash reduction behavior in a mixed atmosphere, where the flash reduction process of iron ore is presumably much more complicated than in a single reducing gas due to homogeneous Numerical simulation and optimization of flash reduction of iron ore
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Optimization of the Iron Ore Direct Reduction Process through
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 fromIn this work, the computational particle fluid dynamics (CPFD) method is used to simulate the high-pressure visual fluidized bed experimental equipment independently designed and developed by the experimentation of the fluidized reduction process of iron ore powder. A numerical model for reducing iron ore fines in a three Processes Free Full-Text Numerical Simulation of the Operating
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Detailed Modeling of the Direct Reduction of Iron Ore in a Shaft
This paper addresses the modeling of the iron ore direct reduction process, a process likely to reduce CO 2 emissions from the steel industry. The shaft furnace is divided into three sections (reduction, transition, and cooling), and the model is two-dimensional (cylindrical geometry for the upper sections and conical geometry for economic model to calculate and minimize the operating costs for a truckless hard-rock iron ore mine in Brazil. The model correlated the mine phase operating costs with the P80 size resulting from blasting material. An economic database and key performance indicators (KPIs) were collected for the unit operations of drilling, blasting, A Mine-to-Crusher Model to Minimize Costs at a Truckless Open-Pit Iron
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Modeling and optimization method featuring multiple operating
Data-driven models, on the other hand, take process data as inputs; and they are widely used in practice. This study employed a data-driven model to describe an iron ore sintering process. To build such a model, it is necessary (1) to determine the inputs and (2) to choose a modeling method that is suited to the characteristics of the data.Different operating modes do exist during the iron ore sintering process, and different operating modes will result in different combustion efficiencies, qualities, and yields. The operating mode is often judged by the operator, but whether the operating mode is judged correctly or not can only be determined by the detection of the sinter ore Operating mode recognition of iron ore sintering process based
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Modeling and optimization method featuring multiple operating
The cold gas efficiency is used as an energy efficiency indicator to evaluate the gasifier performance of a coal gasification process [3]. For the iron ore sintering process, a comprehensive cokeExperiments were carried out using a spiral concentrator test rig containing feed conditioner, centrifugal pump and a spiral concentrator with feed to spiral and recirculation. Time samples of concentrate and tails were collected, weighed, dried analysed. Regression equations were developed for Concentrate yield, grade and Modeling and Optimisation of Spiral Concentrator for
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Optimization of the Iron Ore Direct Reduction Process
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 Iron Range cars. Bob Hanmer sent several photos and details on a few neat projects that he recently completed. Here’s his story. I spent last summer working on older, pre-1920 cars for service on my HO Iron Range cars Notes on Designing, Building, and
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Iron Range cars Notes on Designing, Building, and
Iron Range cars. Bob Hanmer sent several photos and details on a few neat projects that he recently completed. Here’s his story. I spent last summer working on older, pre-1920 cars for service on my HO The direct reduction is a process for reducing iron ore and producing sponge. There are several technologies, like MIDREX1 and H.Y.L2 using the countercurrent shaft furnace to make sponge iron.. In MIDREX technology, the furnace is a vertical shaft (Fig. 1).A charge of pelletized or lump ore is loaded into the top of the furnace and Modeling and Simulation of the MIDREX Shaft Furnace: Reduction
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The Direct Reduction of Iron Ore with Hydrogen MDPI
The steel industry represents about 7% of the world’s anthropogenic CO2 emissions due to the high use of fossil fuels. The CO2-lean direct reduction of iron ore with hydrogen is considered to offer a high potential to reduce CO2 emissions, and this direct reduction of Fe2O3 powder is investigated in this research. The H2 reduction Addi- tionally, we assume a lower electricity price of 0.03 EUR/kWh for PDSP, thus capturing a broader range of techno-economic specifi- cations of process-emission-free alternatives toUnit costs of different iron and steel production technologies
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Operations Anglo American Kumba Iron Ore
Sishen mine. Sishen mine, is near the town of Kathu in the Northern Cape Province. Sishen is our flagship operation and one of the largest open pit mines in the world some 14km long. Sishen mine has sufficient reserves to sustain a 14-year life of mine. The bulk of our iron ore production comes from Sishen mine, with most of it being exported.Iron ore reduction on particle level can be represented with various mathematical models. The most commonly used models are the shrinking particle model, the unreacted shrinking core model (USCM) and the grain model (Valipour, 2009, Levenspiel, 1999).In the shrinking particle model, the reacting solid shrinks without the A CFD-DEM model for the simulation of direct reduction of iron-ore
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Pit Optimization for Improved NPV and Life of Mine in Springer
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 0.3 to 2.0. 2.Iron ore sintering bed can be assumed to be a one-dimensional (1D) unsteady model if the transfer phenomenon is only considered in the axial direction of the bed. In this study, a previously developed sintering bed model with consideration of multiple phases [ 10 ] is adopted for the simulation of various operation modes.Effective utilization of operating condition in production of sintered ore
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