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Concentration of Niobium Bearing MineralsBy R. Biss
"Niobium or columbium, as usually called in North America is becoming a more and more important metal in the industrial world because of its attractive properties.Eventhough discovered in the early ni
Jan 1, 1984
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Improvement of Mass and Value Balance data from the Statistical Benchmark ModelBy Cecilia Arrue, Dominic Fragomeni, N. O. Lotter
"A statistically designed benchmark mill survey was carried out in July 2005 at the Kidd Creek Concentrator, D Division circuit, which processes Ni/Cu ore from the Montcalm deposit. A structured stati
Jan 1, 2007
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Climate and Hydrology Data Collection for Northern Mine DevelopmentBy Nathan P. Schmidt
Climate and hydrology data are required during all phases of mining projects, including impact assessment, mine planning and design, operational water management and mine closure and reclamation desig
May 1, 2004
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Virtual Geologist ? Creating Photo-Realistic 3D Models of Underground Mines with instant Mine ModellerBy Stephen Se
Geological assessment of active mine faces enables ore grade control, geological modelling and exploration planning. Monitoring of the mine advancement at every drill-blast-muck cycle allows for effec
Oct 1, 2009
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Innovative Mineral Processing Technologies – A First Decade of R&D at COREMBy Donald Leroux, Jean-François Wilhelmy, Ahmed Bouajila
"A young private R & D organization, COREM celebrated its 10th anniversary in 2009. Managed by a consortium of nine mining and metallurgical companies, COREM has the mandate of increasing the competit
Jan 1, 2010
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Remote environmental monitoring at No. 26 CollieryBy S. K. Schwartz
"This paper describes the general layout of the environmental monitoring scheme at Devco 's No. 26 Colliery, including wall face ventilation, fan performance and methane drainage, and then goes o
Jan 1, 1982
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Uppers drilling for mechanized cut-and-fill stoping at Brunswick Mining and Smelting No. 12 MineBy R. W. Baker
"The development of uppers drilling at Brunswick Mining is reviewed. This paper describes design criteria for drilling patterns and the research required for selection of a suitable drill jumbo. The s
Jan 1, 1988
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Spectrochemical Analysis of Refined RhodiumBy W. L. Ott, J. E. Hawley, C. L. Lewis
"IntroductionTHE APPLICATION of spectrochemical analysis to metals of the platinum group was advocated by Harvey (3) as follows: ""The spectra of the platinum group metals have been studied less than
Jan 1, 1955
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Process control and instrumentation in mineral processing plantsBy A. L. Mular
"IntroductionThe mining industry has made slow but steady progress toward the automation of mineral processing plants over the last 35 years. The stimulus to automate is associated with important econ
Jan 1, 1989
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Infrared Recognition of High Sulphide and Carbonaceous Rocks after Microwave HeatingBy Gus Van Weert, Peter Kondos
"Ore sorting has been quite successful in providing a separation means in the rock size range of 1 to 6 inches; a range where mineral dressers do not have many options. The industrial minerals and rec
Jan 1, 2007
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Mixing and Aeration of a Gold Pulp with an Atara MixerBy S. R. Knowles, R. J. McDonough
"The purpose of this paper is to introduce to the minerals processing marketplace a viable alternative to conventional mechanical agitation and pachuca airlift agitation. What follows is a brief intro
Jan 1, 1984
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Increasing Availability through Advanced Gearless Drive TechnologyBy C. Dirscherl, M. Combes
"Declining ore grade, leading to increased material transport and plant throughput requirements, is one of the major challenges in the current mining environment. This is accompanied by rising energy
Jan 1, 2014
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Precious Metal Refinery Process Selection - An OverviewBy G. Warren
"In the past, smelting and refining of the precious metals recovered from ore has been generally looked upon as a small and relatively minor component of the business of gold mining. This is not surpr
Jan 1, 2001
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The Benefits of Collaborative, Leveraged Industry-University Research Case Study of a McGill-CAMIRO ProjectBy J. E. Nesset, L. S. Urbanoski, J. R. Goode
"The benefits and advantages of pre-competitive, collaborative industry/university research are not always well appreciated. This paper presents the case study of a current collaborative project betwe
Jan 1, 2001
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Power Quality and Production Improvement of an Iron Ore Mine by the use of an SVCBy Niklas Willemsen
Introduction to SVCs ? SVC = Static var Compensator ? Dynamic step-less control of reactive power without switching of passive components: ? Voltage control/stabilization ? Harmonics- and flicker
Aug 1, 2013
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Water Recovery via Natural Freeze-ThawBy E. Shum, V. G. Papangelakis
"Attempts to reduce the energy requirements of water recovery in the process industries have resulted in the development of techniques to freeze and purify aqueous solutions that take advantage of loc
Jan 1, 2017
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Asset Optimisation through Process Control at Xstrata Alloys – Eland Platinum ‘Optimal Doesn’t Always Rhyme with Capital’By Neo Molelekeng, Jocelyn Bouchard, Rebecca Monnapula, Martin Émond
"Xstrata Alloys – Eland Platinum concentrator (South Africa) has recently been commissioned and is now initiating a challenging optimisation program encompassing the entire operation. Process control
Jan 1, 2010
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Metallogenic overview of the Nain Province, northern LabradorBy Derek H. C. Wilton
"The Nain Province (NP) of northern Labrador is a >600 km long by =100 km wide Archean craton that has undergone relatively little mineral exploration until economically signifcant concentrations of o
Jan 1, 1996
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Intégration des données minéralurgiques et géomécaniques pour la conception minière : le cas de la fosse J4 de la mine TroilusBy J. Bélanger, B. Semlali, M. Grenon
RÉSUMÉ La conception des fosses ainsi que l'évaluation des ressources géologiques et des réserves minières sont désormais réalisées entièrement à l'aide d'outils informatiques spécialisés. Cependant,
Jan 1, 2010
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Solving Old Problems with New WeaponsBy D. Runnels, A. Allaire, J. Torrealba-Vargas
Data mining and modelling of operational data involves the discovery of patterns in large datasets for future use in benchmarking and plant optimization. The modern pattern of discovery in large data
Jan 1, 2019