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Modeling Of Ball Mill Product Size Distribution with Impact Energy Spectra DataBy R. K. Rajamani, A. Datta
An appropriate scale-up methodology is very useful for ball mill design and optimization of the grinding circuit. To date, the scale-up is based on the selection and breakage function model using lab
Jan 1, 1999
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Tailings Dam Failure at Omai in GuyanaBy Steven G. Vick
Effects of the August 1995 failure of the Omai tailings dam in Guyana continue to be felt throughout the mining industry. This article is taken from the final report of the independent body of expert
Jan 1, 1996
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Reduce And Eliminate Rehabilitation With New Superior Coating On Existing Ground Support ProductsBy R. Oler
The mining industry?s traditional preference for protective coatings in corrosive environments, due to cost considerations, has been to apply galvanized and epoxy coatings. As a result of extreme pH
Jan 1, 2012
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Geographic Information Systems And Industrial MineralsBy M. J. Price
The usage of Geographic Information Systems (GIS) is increasing rapidly throughout the Mining Industry, especially in the Industrial Minerals sector. GIS provides an efficient and robust link between
Jan 1, 2001
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A PC Based Ergonomic Analysis Software Package For Underground Mining EquipmentBy R. L. Unger
Restricted fields of vision are a common problem with underground mining equipment. Also, when lighting systems are provided, they may be positioned where they cause glare. This restricts the visibili
Jan 1, 1994
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A Fortran-Based Microcomputer Screen Handling System For Mining ApplicationsComputer programs commonly used to simulate mining operations generally require a fair amount of data. The common data input methods have been by either creating an ASCII data file or answering numero
Jan 1, 1990
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How Much Testing Should I Do? Are The Samples Really Representative?By R. W. Smith, D. L. Taylor, K. A. Altman
Recent research has shown that traditional sensitivity, what if and best case/worst case analysis of metallurgical data has the potential to over estimate the value of mining projects. Use of simulat
Jan 1, 2000
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Silica Micro Encapsulation: An Innovative Technology For The Treatment Of ARDBy A. L. Anderson, J. T. Rybock
KEECO has developed the Silica Micro Encapsulation (SME) technology for the treatment of acidic, metal-laden waters. Utilizing a silica-based chemical formulation that entails chemisorption and micro
Jan 1, 2000
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Investigation of the Rockburst Mechanism of Driving Roadways in Close-Distance Coal Seam Mining Using Numerical - Mining, Metallurgy & Exploration (2021) Modeling MethodBy Stanisław Prusek, CHONG WEI, Huawei Xu, Jun Wang, Andrzej Walentek, Artur Dyczko, Derek B. Apel
The excavation-induced stresses transferred from the panels or pillars in upper coal seams play a key role in the occurrence of rockbursts in driving roadways during close-distance coal seam mining, w
Aug 26, 2021
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Coupled Finite‑Difference and Discrete‑Element Method for Modelling Direct Shear Tests on Combined Rock‑Cemented Rockfill Specimens - Mining, Metallurgy & Exploration (2022)By CHONG WEI, TATYANA KATSAGA, DEREK APEL
This study provides an effective determination process of the interface microstructural parameters in the numerical modelling of the mechanical interaction between two different geomaterials involved
Nov 2, 2021
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Achieving World Class Maintenance StatusBy Paul D. Tomlingson
World class performance is the ultimate objective of many maintenance organizations. It marks the organization as a leader in its industry and sets it apart as the ultimate achiever. But what is a “
Jan 1, 2006
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Influence Of Material Composition On The Mix Design Of Paste BackfillBy K. Biswas, F. C. Felipe
Paste backfill, because of its colloidal or water-holding properties, does not produce run-off water when placed underground. Paste backfill is generally, prepared from relatively low water content, f
Jan 1, 2000
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Source of titanium-enriched ilmenite in sand deposits, South IndiaBy Roger K. McLimans, Venkatramaiah N. Vasudev, Christian Knudsen, Stefan Bernstein, Dirk Frei
Computer Controlled Scanning Electron Microscopy (CCSEM) analyses of sediment samples from coastal regions of Kerala and Tamil Nadu states and the heavy mineral deposits of Chavara, South India, show
Jan 1, 2005
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Rock Remediation Techniques For Mining And Quarry OperationsBy Daniel Journeaux
Introduction Daniel Journeaux is President of Janod Incorporated. Janod is a family owned and operated company that has been working in the field of slope stabilization since 1970. Daniel has worke
Jan 1, 2005
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A Methodological Model To Assist On The Optimization And Risk Management Of Mining Investment DecisionsBy J. A. Botín
Identifying, quantifying and minimizing technical risks associated to investment decisions is a key challenge for the minerals industry decision takers and investors. However, risk analysis in most b
Jan 1, 2011
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Sustainable Development And Industrial MineralsBy J. M. Barker, V. T. McLemore
Most discussions of sustainable development (SD) in mining relate to metal mines in rural areas. Industrial minerals (IM) are closer to urban areas primarily owing to a high transport-cost component o
Jan 1, 2004
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What Is The Value Of This Industrial Mineral Property?By S. M. Pickering, L. T. Gregg
Appraisal of industrial minerals beneath privately owned land requires a different approach and mindset from valuation of base and precious metals or energy minerals, and from valuation of government-
Jan 1, 2000
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Metallurgical Fluorspar Yesterday & Today & TomorrowBy William R. Oakley
In order to best-discuss the met spar industry let me take the liberty to review our involvement, that is, my company's. Our organization has been involved in the fluorspar industry for approxima
Jan 1, 1978
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Economical Approach to Engineering Fire Durability of StructuresBy Sean Cassady, Jason Liu, Sanja Zlatanic, Taehyun Moon, Chris Devery
"For the Hollywood International Airport Runway Expansion Project at Fort Lauderdale, Florida, the structural fire durability analysis was completed for a series of tunnels formed by roadway and railr
Jan 1, 2016
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Parameter Estimation Of The Inverse Distance Estimation Algorithm - Preprint 09-116By G. Jalkanen
Parameter estimation of the inverse distance estimation algorithm is presented. The objective function to be minimized is a sum of squared cross validation errors. The unknowns to be estimated are the
Jan 1, 2009