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  • SME
    Predicting Oxygen Run-Out Times Of Self-Contained Self-Rescuers

    The recent mine disasters in Australian coal mines have initiated an introduction of Self-Contained Self-Rescuer (SCSR) as component in the development of new escape strategies for miners. These self-

    Jan 1, 1997

  • SME
    Predicting Oxygen Run-Out Times Of Self-Contained Self-Rescuers – Preprint 97-119

    By N. I. Aziz, I. Tague, P. Mackenzie-Wood

    The recent mine disasters in Australian coal mines have initiated an introduction of Self-Contained Self-Rescuer (SCSR) as component in the development of new escape strategies for miners. These self-

    Feb 24, 1997

  • CIM
    Predicting Patterns of Slurry Flow within and Discharge from a 3D Pilot SAG Mill

    Slurry flow, including flow through the charge, through the discharge grates, along the pulp lifters and its discharge from the mill is an important contributor to the efficiency of the grinding proce

    Jan 1, 2012

  • CIM
    Predicting Patterns of Slurry Flow Within and Discharge from a 3D Pilot SAG Mill (421a1a4c-1533-4b20-9683-7c7c442899ac)

    Slurry flow, including flow through the charge, through the discharge grates, along the pulp lifters and its discharge from the mill is an important contributor to the efficiency of the grinding proce

    Jan 1, 2012

  • TMS
    Predicting Phase Equilibria In Oxide And Sulphide Systems

    By John A. Gisby

    Phase equilibria for multi-component systems can be calculated reliably from critically assessed thermodynamic data for sub-systems using software packages like MTDATA, developed by the National Physi

    Jan 1, 2002

  • NIOSH
    Predicting Probable Roof Fall Areas In Advance Of Mining By Geological Analysis

    By W. K. Overbey

    Surface fracture trace density, changes in roof rock type, and topographic unloading due to drainage were mapped for the mining areas located in the Blacksville-Osage, W. Va., quadrangles to investiga

    Jan 1, 1973

  • SME
    Predicting Raise And Tunnel Boring Machine Performance: State Of The Art

    By Peter J. Tarkoy

    The art of predicting rock excavating machine performance has become increasingly detailed and refined. Researchers using laboratory experiments and machine manufacturers using field observations have

    Jan 1, 1979

  • SAIMM
    Predicting rock fragmentation based on drill monitoring: A case study from Malmberget mine, Sweden

    By H. Schunnesson, H. Fredriksson, D. Johansson, E. Söderström, S. Manzoor, A. Gustafson, M. Danielsson

    Fragmentation analysis is an essential part of the optimization process in any mining operation. The costs of loading, hauling, and crushing the rock are strongly influenced by the size distribution o

    Mar 2, 2022

  • ISEE
    Predicting Rotary Drill Performance

    By George P. Jr Schivley

    Looking at the process of drilling rock from the standpoint of the power required, yields an equation that relates Force-on-the-Bit; Torque, to rotate the bit; and bit Angular Speed to the Penetration

    Jan 1, 1994

  • SME
    Predicting Run-Of-Mine Ore Grades For Large-Scale Sublevel Caving At LKAB's Kiruna Mine

    By M. E. Kuchta

    LKAB's Kiruna mine, located above the Arctic Circle in northern Sweden, is one of the world's largest underground mines, and it is one of the most modern. The Kiruna orebody is a high-grade

    Jan 1, 2003

  • AUSIMM
    Predicting Spontaneous Combustion in Spoil Piles from Open Cut Coal Mines

    By Saghafi A

    Spoil piles are produced routinely in open cut coal mines. Spoil piles may contain waste coal and other carbonaceous horizons. Coal and carbonaceous materials react with oxygen in the atmosphere, prod

    Jan 1, 1998

  • SME
    Predicting Spontaneous Heating in Coal Mine Pillars

    By Robert J. Timko, Lincoln Derick

    This work is a follow-up to previous research that attempted to predict the location of spontaneous heating episodes in underground coal mine pillars. The objective of the original work was to see if

    Jan 1, 1995

  • SAIMM
    Predicting standard threshold shifts for occupational hearing loss among miners at a large-scale platinum minen in South Africa

    By L. Ntlhakana, K. Khoza-Shangase, G. Nelson, I. Maposa

    Occupational noise-induced hearing loss (ONIHL) is associated with various risk factors in South African mines. We investigated the association between standard threshold shifts (STSs) and exposure to

    Aug 1, 2021

  • TMS
    Predicting Surface Tension And Viscosity Of Molten Slag

    By Toshihiro Tanaka

    The information on viscosity and surface tension of molten slag is indispensable to design new refining procedures in ferrous and non-ferrous processes. For example, the authors have tried to develop

    Jan 1, 2006

  • AUSIMM
    Predicting the Benefit of Gravity Recovery Prior to Flotation

    Batch centrifugal gravity concentrators have become standard equipment in gold grinding circuits for recovery of gravity recoverable gold (GRG). The downstream benefits of installing a gravity circuit

    Aug 1, 2010

  • SME
    Predicting The Block Caving Behavior Of Orebodies

    By B. K. McMahon

    Block caving is an efficient mass-production method for the underground mining of large orebodies. However, the block-caving method requires a substantial investment in developmental works, based on t

    Jan 1, 1969

  • AIME
    Predicting The Circulation Rate In Pachuca Tanks With Full Height Draft Tubes

    By N. N. Clark

    Pachuca tanks are used widely as reactors for treating gold slimes, and for alumina digestion and uranium leaching. In some designs, slurry mixing in the tank is achieved by introducing air at the bas

    Jan 1, 1985

  • SAIMM
    Predicting The Compressive And Tensile Strength Of Rocks From Indentation Hardness Index - Synopsis (5d939d82-50f6-4a6f-af03-1325a51614fd)

    By S. Kahraman

    The prediction of rock properties from indirect testing methods is important, particularly for preliminary investigations since indirect tests are easier and cheaper than the direct tests. In this stu

    Jan 1, 2012

  • IMPC
    Predicting the Contribution of Impact Wear to Total Steel Media Consumption

    By Lokesh K. Thakur, Peter Radziszewski

    "For the cases tested (11 mills with 15 operating conditions), the Bond abrasion test steel media wear rate prediction gives an overall error of 73% and a standard deviation of 192.5%. However, total

    Jan 1, 2003

  • CIM
    Predicting the Economic Success of Continuous Tunneling in Hard Rock

    By H. J. Handewith

    "After having performed qualitative and quantitative tests on nearly 550 rock specimens from tunnel projects throughout the world and comparing the results with actual boring in eight distinctly diffe

    Jan 1, 1970