The remainder of this paper is organized as follows. Section 2 describes how the coal blending and coking process is analyzed. Section 3 introduces our new coke quality prediction model, based on Gaussian functions and XgboostCSVR. Section 4 proposes our MPSO-based blended coal cost optimization method. Finally, Section 5 presents and analyzes our experimental results.
1.1 Coal, coke and the prediction of their properties. Metallurgical coke, derived from the pyrolysis of selected coals, plays several critical roles in the ironmaking blast furnace (Babich and Senk 2013; Bertling 1999; Biswas 1981).As a structural support, and source of permeability for the layers of softening iron materials, the selection of an appropriate coke can significantly influence ...
OF THE EFFECT OF COAL BLENDING ON HARDGROVE GRINDABILITY INDEX Niaz Muhammad Shahani . School of Mines, China University of Mining & Technology, Xuzhou, 221116, China . ... The HGI value is determined by the given experimental formula [21]: HGI = 13 + 6.93W (1) where: W. is weight of the test sample passing through 75μ sieve after grinding in ...
Efficient ways to optimise coking coal blends - Volume 103 Issue 3. Skip to main content Accessibility help We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
Coal Blending Theory for Dry Coal Charging Processes Seiji NOMURA* 1Takashi ARIMA* Kenji KATO*1 Kouichi YAMAGUCHI* 2 Abstract Nippon Steel has successfully developed dry coal charging processes such as CMC and DAPS for cokemaking. In this report the fundamental aspects of the coal blend-ing theory for dry coal charging processes are investigated.
Abstract and Figures. Prediction of plastic properties of blends is a prerequisite for optimal blend design since coke quality indices depend on them. 108 blends and their 121 components coals ...
Blending of non-coking coals above 20% with the hard coking coals used in this research decreases the blend fluidity and impairs the coke quality. It was seen that the coals lose their fluidity on weathering, and the value becomes less than half after a two months of storage at site. Weathering appears to be more rapid in case of semisoft than ...
Coal blending is a critically important process in the coal mining industry as it directly influences the number of product tonnes and the total revenue generated by a mine site. Coal blending represents a challenging and complex problem with numerous blending possibilities, multiple constraints and competing objectives. At many mine sites, blending decisions are made using heuristics that ...
Coke is an important raw material in the steel industry, and its quality directly influences the smelting of iron and steel. To improve coal quality and reduce coal blending costs, we need to predict the coke quality and optimize the coal blending scheme. In this paper, we propose a modeling and optimization method based on the characteristics of the coal blending and coking process.
Coal blending is the process of mixing good quality coal with low-quality coal to obtain medium-quality coal. One method of coal blending is mixing in the furnace whereby only placing one type of coal in each coal burner that is known as furnace blending. The coal blending is done by mixing medium rank coal (MRC) and low-rank coal (LRC) with a ...
Download scientific diagram | Operational flow chart of a coal blending management system (Lyu and others, 1991) Zhong and others (2013) are preparing a 'coal selection-blend and generation cost ...
emitted from boilers fueled on coal or oil is primarily inorganic in nature. 1.1.3.2 Sulfur Oxides4-Gaseous SO x from coal combustion are primarily sulfur dioxide (SO 2), with a much lower quantity of sulfur trioxide (SO 3) and gaseous sulfates. These compounds form as the organic and pyritic sulfur in the coal are oxidized during the ...
of coal produced from blending activities according to consumer demand, and knowing the factors that affect the quality of coal blending results. The results showed each barge whose specifications were used for the blending formula parameters. On the MV. Ye Huan with 2 barges with reference to AC <7%, TS <1.40%, and CV (gar)> 4700 Kcal/kg.
determined for BV1 blend with 0.97 G-value and 18 hours coking time with only a small allowable deviation of 0.18 units. The CRE formula has therefore been shown to be valid to predict M40 index of coke produced from coal blends with G-value of about 0.97 and carbonized at a moderate coking time of 18 hours. It has also been shown that the coking
Blending here would provide a uniform mineral content which would aid in fine tuning the extraction process to attain maximum output. 2) The presence of an undesirable type of ore that could be processed but which would cause a reduction in overall output if it comprised too large a percentage of the mill feed. In this case the undesirable ore ...
high and low sulfur coal sources are inputs to the system, along with the desired resulting SO2 level. The initial target blend ratio needed to meet the target SO2 level is calculated by the COBOS system based on the analysis of the two coal sources. During coal blending operation, low-sulfur coal reclaimed from the stacking tube is added to high-
the optimized coal blend ratio. 2. Determination of the coal mixing ratio Main coals used in a 350 MW supercritical combustion power plant are shown in table 1. Xing'an coal, Ura coal, and Shaltala coal are lignite coals, while Inner Mongolia coal is bituminous one. Design coal of the 350 MW power plant is lignite coal. Table 1. Main coals used ...
COAL, OIL SHALE, NATURAL BITUMEN, HEAVY OIL AND PEAT – Vol. I -Thermal Decomposition of Coal - Dexiang Zhang ©Encyclopedia of Life Support Systems (EOLSS) process characteristics. Because of decreasing reserves of good coking coals, it is also the central issue in metallurgical coke production by adoption of coal blending technology.
In the air atmosphere, 30% oxygen atmosphere, 50% oxygen atmosphere and the heating rate of 5 K/min, 10 K/min, and 20 K/min, respectively, TOPSIS method is used to study the properties and optimal ratio of blending coal. 3. Blended Coal Combustion Studies. This paper mainly studies the characteristics of combustion of mixed Xiaolongtan lignite ...
to Ji (2011), there are three main problems that should be address to implement blending coal by pulverizer. First is the determination of optimum coal blending formula. Second is the selection of pulverizer-coal combination which involves selecting a combination of pulverizers and one for each individual coal under a blending scheme. Third,
A proper blending strategy needs to balance the inclusion of medium and soft coals along with the costly prime or hard coal. A blend must also take care of the quality requirements of the blast ...
(QP) is presented for a hypothetical blending type problem in mining industry. Microsoft Excel 10.0 Solver is used to develop the model for a three-seam coal mine and data are hypothetically generated for a case study problem. Optimum quantities of each run of mine (r.o.m) coal with variability in calorific values to be fed to a nearby
Analysis of Coal Tar Pitches. C.S.B. Nair, in Analytical Methods for Coal and Coal Products, Volume II, 1978 I Briquetting, Core Binders, and Target Pitch. Coal briquets are made of blending coal fines with 8–10% of powdered medium-soft pitch at ∼90°C. The soft mass so obtained is shaped into rectangular briquets in a ram press or formed into ovoids in a continuous roll press.
Calculating Stockpile Capacity: Once the minimum storage capacities which will assure maximum mill output are known, the appropriate stockpile configuration must be determined. Stockpiles fall into two general categories: conical and elongated. Conical Stockpiles The conical stockpile is the simplest and easiest to analyze. The total stockpile capacity is given by: 3.14 (Tan A)R³ D/3000 ...
The present work describes the possibility of estimating CSR for coke from ash chemistry of coal blends. For development and validation of the regression model, data obtained from the Tata Steel's ...
Coal is divided into four classes: anthracite, bituminous, sub-bituminous, and lignite. Elemental analysis gives empirical formulas such as C 137 H 97 O 9 NS for bituminous coal and C 240 H 90 O 4 NS for high-grade anthracite. Anthracite coal is a dense, hard rock with a jet-black color and a metallic luster. It contains between 86% and 98% ...
