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Convert Hot Slag Directly Into Glass-Ceramics by Hot Slag Modification ProcessBy Da-Qiang Cang, Qingde Wang, Wei Wang, Wen-Bin Dai, Min Guo, Yu Li
Utilization of both slag and its heat for hot slag is a great challenge for iron and steel industry. Many methods of hot slag modification for directly converting hot slag into value-added materials w
Jan 1, 2015
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CARACTERIZAÇÃO DAS MICROESTRUTURAS E DA RESISTÊNCIA A CORROSÃO DE REVESTIMENTOS DA MISTURA DAS LIGAS DE NÍQUEL AWS ERNiCrMo - 3 E AWS ERNiCrMo - 4 SOLDADOS PELO PROCESSO MIG/MAG DUPLO ARAMEBy Kamilla Giló Santiago
Nesse trabalho para caracterização metalúrgica dos revestimentos compostos pela mistura das ligas AWS ERNiCrMo - 3 E AWS ERNiCrMo - 4 soldados pelo processo MIG/MAG duplo arame foram realizadas anális
Aug 7, 2018
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Ground and Standing Support Interaction in Tailgates of Western U.S. Longwall Mines Used in the Development of a Design Methodology Based on the Ground Reaction CurveBy Dennis Dolinar
"Tailgate entries in U.S. longwalls can be subjected to high loads and deformations. Therefore, tailgate entries are generally supported with varying types and amounts of standing support. However, ev
Jan 1, 2010
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PART V - Papers - The Fatigue and Tensile Fracture of TD-NickelBy R. K. Ham, M. L. Wayman
TD-Nickel has been broken in tension and in fatigue at voom temperature. Rod specimens failed in tension by necking, with axial cracks attributed to voids elongated in the extrusion direction. Fatigue
Jan 1, 1968
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Regional Horizontal Stress And Its Effect On Longwall Mining In The Northern Appalachian Coal FieldBy D. W. H. Su
This paper presents the results of ill situ horizontal stress measurements using a Minifrac system in several northern Appalachian coal mines. The effect of stress magnitude and orientation on longwal
Jan 1, 1995
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Fine Screening. . . The Current State Of The ArtBy Leon D. Keller
Fine screening, as discussed in this paper, pertains to the use of the Rapifine DSM Screen to make a 65 to 325-mesh separation at production tonnages. The greatest number of Rapifine Screen installat
Jan 1, 1971
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Application Of Landsat Imagery To Kaolin Mining Operations In Southeastern US ? IntroductionBy H. Lawrence
In 1977, the Bureau of Mines awarded a grant to the State of South Carolina to explore the possibility of using Landsat multispectral scanner (MSS) data as an aid in monitoring surface mining activiti
Jan 1, 1979
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Skarn Mineralogy in Relation to Cu-Zn-Pb MineralizationBy A. L. Paverd
The petrology of a number of pyrometasomatic mineral deposits in north Queensland, Australia, were studied to evaluate the use of mineralogy and major element chemistry in the exploration for copper,
Jan 1, 1981
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RI 6947 New Gap-Sensitivity Methods For ExplosivesBy R. L. Grant
The Bureau of Mines developed two new gap-sensitivity methods for explosives, and especially permissible explosives, to overcome certain disadvantages of the present routine half-cartridge method. The
Jan 1, 1967
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Itmk3®– Application Of A New Ironmaking Technology For The Iron Ore Mining IndustryBy O. Tsuge, G. Hoffman
ITmk3®(Iron Technology Mark III) is an innovative new ironmaking technology whereby high quality iron nuggets are produced directly from iron ore fines and coal in a rotary hearthfurnace1). The react
Jan 1, 2003
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In-Situ Testing Of Roofex Yielding Rock Bolts In Coal RibsBy Sean Harvey
One of the manifestations of the dynamically induced failures in deep coal mines is the violent ejection of coal from the ribs. A possible protection against such failures is the use of a specificall
Jan 1, 2009
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Gold Mineralization in Archean Banded Iron Formation, Third Portage Lake Area, Northwest Territories, CanadaBy R. S. James, S. P. Goff, A. E. Armitage
"Abstract - Oxide-facies banded iron formation in the Third Portage Lake area is hosted by ultramafic and calc-alkaline volcanic rocks and related sedimentary rocks of the Archean (2.8 Ga) Woodburn La
Jan 1, 1996
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Papers - Slag Control for Alloy Forging Steel (With Discussion)By A. L. Field
This general subject has been so thoroughly discussed by Dr. Herty and his associates, especially with regard to the degree of oxidation of the metal at the time that the silicon pig or spiegel is add
Jan 1, 1935
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Papers - Slag Control for Alloy Forging Steel (With Discussion)By A. L. Field
This general subject has been so thoroughly discussed by Dr. Herty and his associates, especially with regard to the degree of oxidation of the metal at the time that the silicon pig or spiegel is add
Jan 1, 1935
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Optimización de la metalurgia planta concentradora unidad de producción “el cofre” - CIEMSABy Henry Brañes
El presente trabajo describe el proceso de optimización metalúrgica de la planta concentradora “La Inmaculada” de la U.P. “El Cofre en Puno, dado que la mina no contaba con reserva suficiente para a
Sep 14, 2009
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RI 7255 Turbine Blade Wear By Coal Ash In Working Fluid At 1,200° FBy J. P. McGee
A 1,000-hour test with a gas turbine at 1,200° F showed a working fluid of 1 gr of ash per 100 scf of power gas (79 percent of the ash 7 to 35 microns in diameter) to be excessive for acceptable blade
Jan 1, 1969
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RQD from the Barrel to the Box: Weatherability May be a Better indicator for Roof Support DesignBy Kot Unrug
For the purposes of underground mine design, twelve cores of the Springfield (V) Coal (Pennsylvanian) roof and floor were retrieved. Each core was photographed, described fresh in the barrel, and the
Jan 1, 2003
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A Metalografia Como Ferramenta De Qualidade Na TrefilaçãoBy Giulliane Meireles Casali Gonçalves Torres
Os arrebentamentos que ocorrem durante o processo de trefilação geram impacto na produtividade e rendimento operacional em função do retrabalho gerado na realização de solda cada vez que o material se
Aug 17, 2017
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The Composition of Some Copper Slags From Port KemblaINDEX OF CONTENTSBlast Furnace SlagsForehearth AccretionsConverter SlagsConclusionsIllustrationsCOMPOSITION OF SOME COPPER SLAGS FROM PORT KEMBLASamples of copper slags from the Port Kembla Smelter of
Jan 1, 1949
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Prediction of Froth Flotation Performance Using Convolutional Neural Networks - Mining, Metallurgy & Exploration (2023)By A. Jahedsaravani, M. Massinaei, M. Zarie
Deep learning is a subset of machine learning that uses artificial neural networks for extracting high-level features from image data. In the present study, a soft sensor is proposed for the predictio
May 5, 2023