worked by a coalcutting machine. Sekula et al. (1991) and Krupa et al. (1993a,b, 1994) ... In this paper the development of a new rippability classification system for coal measure rock based on ...
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The extraction of coal results from the interaction between the cutting tool and the coal Many studies have been conducted to understand the mechanism of For maximum productivity and ecocoal for a better tool design (1,2,3,4,5). which it has to operate. nomy the coal extraction machine must be designed to suit the conditions under This leads to ...
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1890s the first coal cutting machine was introduced at Greta whereas electricity was introduced in 1893 (Elford and Mckeowan, 1947). According to Lama, uptill 1925, 20% of the coal was being mined with machines and in 1935 loading of the coal through machines was also introduced. By then, coal excavation methods had become reasonably advanced and
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Download scientific diagram | a Cutting action of continuous miner machine; b gradual wear of conical picks; c 14 CM series continuous miner machine (courtesy: joyglobal) from publication ...
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Eshaq et al. [2] extracted appropriate texture features from infrared images to develop an accurate classification system using a support vector machine (SVM). Li et al. [3] proposed an LSSVM based on grayscale and texture as a machine learning model for coal classification. The results showed that the accuracy of gangue and coal ...
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Search Query for FOIA ERR: A A. +A A +
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Only a slope stability coefficient of can guarantee to maximize the recovered retained coal resources while maintaining safety. Substituting FS = into Eq. ( 12) yields m as the ...
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In order to improve the utilization of coal resources, the shearer drum is controlled to move close to the interface of the coal seam and rock as much as possible [].Since the 1960s, cutting pattern recognition, defined as whether the shearer drum is cutting coal bed, rock bed, or the coal bed mixed with gangue, has been widely researched in many coal producing countries.
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Coalfired boilers are used in many industrial plants to provide and direct heat and steam sources to the machines that need to be used. Coal fired boilers are commonly used in industries such as textile, garment, food, soft drinks, alcohol, seafood, fish sauce, soy sauce, etc.
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Surface miner, a coal cutting machine, has broad application in Indian opencast coal mines. The relationship between the coal production and the input provided for the same defines the productivity of the surface miner. ... Dey K, Ghose AK (2011) Review of cuttability indices and a new rockmass classification approach for selection of surface ...
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The machine cut 150 m 2 in six months, at about three times the cost of conventional mining. This was viewed as an important first step in hard rock cutting, particularly as it enabled separate mining of a narrow reef band and waste, allowing for waste to be sorted and moved into the back area instead of incurring the costs of being transported ...
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A. K. Ghose Rock Mechanics and Rock Engineering 44, 601611 ( 2011) Cite this article 954 Accesses 8 Citations Metrics Abstract
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The ratio between combustible organic matter and inorganic impurities of coal is also one of the variables in coal classification. Coal gangue is a significant residue of coal mining ... rotary coal breaker—a machine that combines size reduction, screening, and separation—has been developed and specifically designed for selective coal ...
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Surface miners can be classified in three categories This contribution seeks to present a rational basis for based on the principle of rock cutting, namely, (1) cutting evaluating the applicability of surface miners using a drum positioned in front of the machine, (2) cutting drum rockmass classification system. positioned below the machine and ...
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Graphite. Let's deal with these coal types one by one. 1. Peat. It is a spongy and humid material of brown colour. It is found in boggy land te contains a large amount of water (about 90%) and the rest of it is solid material. It is dried for 1 to 2 months, After drying its water content reduces to about 30%.
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The support vector machine (SVM) classification method, which was optimized by using a genetic algorithm (GA), was used to classify the coal samples into 3 categories. And then, the partial least squares regression (PLSR) was employed to establish different models for each type of coal. ... Coal classification is an indispensable task in coal ...
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Classification of coal and gangue under multiple surface conditions via machine vision and reliefSVM. ... of coarse coal. Aldrich used machine vision systems to measure particle size distributions of coal on a conveyor belt [9]. Perez et al. presented a new method to improve rock classification via digital image analysis, mutual information ...
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For the traditional machine learning methods rely on manual experience and deep learning classification model depth and complex structure, resulting in poor gangue classification performance, this paper proposes a coal gangue recognition method (CNNSVM) based on the combination of convolutional neural network (CNN) and support vector machine (SVM). Firstly, we use a generative adversarial ...
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Thi s type of mining uses some of the largest machines on earth, including bucketwheel exc avator s which can move as much as 12,000 cubic meters of earth per hour .
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1. Column and knee type milling machines. Column and knee type mill is a common type of milling machine for general purpose. Column, spindle, cutter, table, knee, base are the basic parts of the vertical and horizontal type mills. On column and knee type milling machines, a vertical column is attached to the bed that contains all gear drives ...
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Fully mechanized LTCC mining method is a good recovery for ultrathick coal seams especially seams above 7 m. Developing technologies increases the recovery rate for LTCC more than working in slice panels (Wang et al. 2015).Different drawing alternatives effect the recovery rate of the top coal as also outlined by Wang et al. (), and it proposed that one cutting and one drawing working ...
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Talcher coalfield is the largest depository of powergrade coal in India which lies in the southeastern region of the Mahanadi Valley belt of the Gondwana Basin between longitudes 84°21′85°25′E and latitudes 20°50′21°15′ N (Singh, 2016).The coalfield has an areal extent of ~1860 km 2 with a potential coalseam area of ~1000 km outline of the coalfield is close to the north ...
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Instructions for the Working of William Baird and Co's CoalCutting Machines, about 1870. The first chain coal cutting machine was invented in Coatbridge in 1871 by John Alexander of the iron and coalmasters William Baird and Company. This kind of coal cutter works much like a chainsaw, with sharp metal teeth attached to a moving chain.
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This has enabled specific gravity cut points as low as, while maintaining good separation efficiency. Consequently these units have gained the acceptance for recovery of coal from waste piles and tailing ponds as well as to treat run of mine coal, mineral sand separation/classification. The schematic. Floatex density separator
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Semiautomatic cutting machine. Fully automatic cutting machine. 1. Manual cutting. Hand scissors are used for cutting fabric plies manually. Hand scissors are not machines but very useful cutting equipment. Factories may have semiautomatic and fully automatic machines for fabric cutting, but can't avoid use of hand scissors in cutting section.
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One of the primary factors affecting safe and effective mining in fully mechanized mining faces with large mining heights is coal wall sloughing. This paper establishes the mechanical model of the coal wall and uses the deflection theory for the mechanics of materials to find the maximum point of the deflection of the coal wall, which is the most easily deformed and damaged during the mining ...
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Among them, clustering models can cluster coal samples into several clusterings only by coal spectra; classification models can classify coal with labels into different categories; and the regression model can give quantitative prediction results for proximate analysis indicators.
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Abstract. Deep learning is an effective way to improve the classification accuracy of coal images for the machine visionbased coal sorting. However, the related research on deep learningbased ...
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A fuzzy method for selecting underground coal mining method considering mechanization criteria. Kemal Özfırat. 2012, Journal of Mining Science.
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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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