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  • NIOSH
    MLA 53-87 - Mineral Resources Of The Alvord Desert And East Alvord Study Areas, Harney And Malheur Counties, Oregon ? Summary

    By Alan R. Buehler

    In 1986, at the request of the U.S. Bureau of Land Management, the U.S. Bureau of Mines studied part of the 256,430-acre Alvord Desert and part of the 22,240-acre East Alvord Wilderness Study Area (OR

    Jan 1, 1987

  • NIOSH
    MLA 6-89 - Mineral Resources Of The Lower Owyhee Canyon Study Area, Malheur County, Oregon

    By J. Douglas Causey

    In 1986 and 1987, at the request of the Bureau of Land Management, the U.S. Bureau of Mines studied 73,010 acres of the 76,480-acre Lower Owyhee Canyon Wilderness Study Area (OR-003-110) in order to e

    Jan 1, 1989

  • NIOSH
    MLA 6-90 - Minerals In The East Mojave National Scenic Area, California: A Minerals Investigation - Volume I

    In 1990, the Bureau of Mines (BOM) conducted a mineral investigation of the mines and prospects in the East Mojave National Scenic Area (EMNSA), San Bernardino County, California During field work, BO

    Jan 1, 1990

  • NIOSH
    MLA 6-91 - Mineral Resource Appraisal Of The Challis National Forest, Idaho

    By Edward L. McHugh

    The appraisal of mineral resources of the Challis National Forest, Idaho, by the U.S. Bureau of Mines, was made so that the mineral resources of the forest could be appropriately considered in land us

    Jan 1, 1991

  • NIOSH
    MLA 63-85 - Mineral Resources Of The Ruby Mountains Study Area, Madison County, Montana

    By Steven W. Schmauch

    The Ruby Mountains study area encompasses 75,615 acres managed by the U.S. Bureau of Land Management in Madison County, MT. A mineral survey was conducted by the U.S. Bureau of Mines and U.S. Geol

    Jan 1, 1985

  • NIOSH
  • NIOSH
    MLA 7-89 - Mineral Appraisal Of The San Isabel National Forest, Colorado

    Between 1985-1986, the Bureau of Mines reviewed the mining history and minerals information for areas in and near the San Isabel National Forest to appraise the mineral resources present and determine

    Jan 1, 1989

  • NIOSH
    MLA 9-90 - Mineral Appraisal Of The White River National Forest, Colorado

    By S. Don Brown

    Between 1987 and 1988, the Bureau of Mines studied the mineral resources of the White River National Forest and part of the Arapaho National Forest to appraise the resources present and to determine t

    Jan 1, 1990

  • NIOSH
    MLA 9-93 - Mineral Resources Of The Secesh Study Area, Idaho And Valley Counties, Idaho

    By Alan R. Buehler

    The Bureau of Mines conducted a mineral investigation of the 177,000-acre Secesh study area; most of the area had been proposed as wilderness. Bureau personnel mapped and sampled several hundred mine

    Jan 1, 1993

  • CIM
    MLA: The New Sherlock Holmes of the Mining and Metallurgical Engineering Industry

    By Paul Miranda, Corby Anderson

    "The Center for Advanced Mineral and Metallurgical Processing (CAMP) has recently obtained a Mineral Liberation Analyzer (MLA). CAMP has utilized the technology for several projects with excellent res

    Jan 1, 2007

  • SME
    Model Development And Heterogeneous Kinetics Of Electrochemical Coal Oxidation

    By R. K. Mehta

    An electrochemical coal oxidation model involving heterogeneous kinetics is presented. This model was tested by collecting current transient data on three coals assaying different ash content under va

    Jan 1, 1991

  • ABM
    Model Development Of Additives Dissolution In The Bof Process

    By Daniel Augusto Godinho de Carvalho

    Since the beginning of BOF process, slag formation has been subjected to extensive development. During the initial stages of the blow, fast slag formation is primordial for the process performance. Th

    Aug 16, 2017

  • TMS
    Model for Calculating the Lankford Value in Sheet Steels

    By C. Isaac Garcia, Sihai Jiao, Anthony J. DeArdo

    "A practical model based on the Hill analysis has been developed to calculate the Lankford value of interstitial free (IF) steels and its distribution in different rolling directions, by considering o

    Jan 1, 2001

  • SAIMM
    Model for the Design and Control of Flotation Plants

    By R. P. King

    "A model of the flotation process can be used effectively for design and control. For design purposes it can be used to predict the performance of a large plant from laboratory and pilot plant data. I

    Jan 1, 2014

  • NIOSH
    Model Input

    By C. B. Manula, R. L. Sanford, R. A. Rivell

    Data input is divided into three divisions for discussion purposes below. These divisions are: a) Information Retrieval and Control Options; b) Gaming Options; and c) Descriptive Parameters.

    Jan 1, 1974

  • TMS
    Model Predictions of the Liquidus Surface of Multi-Component Iron Silicate Smelting Slags Containing Magnesia and Calcia

    By Florian Kongoli

    Non-ferrous smelting slags .can contain magnesia, which substantially increases the liquidus temperature. One option to counter this increase is to flux with calcia. In this work, experimental liquidu

    Jan 1, 1998

  • TMS
    Model Studies of Drop Reactions with Gas Evolution

    By D. K. Panda

    The behavior of single drops with gas evolution at the interface is of interest because this is one of the important reactions that occur in oxygen steelmaking vessels, where a large amount of iron-ca

    Jan 1, 1994

  • AIME
    Model Studies on the Resistance of Airways Supported With Round Timber Sets

    By G. B. Misra

    While investigating on the aerodynamic resistance of airways supported with peripheral timber sets, at regular intervals, the following theoretical equations were developed by the author to estimate t

    Jan 1, 1975

  • SME
    Model Studies To Develop Criteria Of Subsidence Due To The Room And Pillar Mining Of Coal

    By A. W. Khair

    Surface subsidence is a phenomenon mainly associated with longwall mining, although it can also occur if the coal pillar left to protect the surface deteriorates with time and results in the collapse

    Jan 1, 1984

  • NIOSH
    Model Verification And Implementation

    By R. V. Ramani, V. T. Burgos, J. A. McClay

    Model testing is a two part operation; first, to assure the valid¬ity of the mathematical statements and second, to evaluate the accuracy of the computer model for predictive purposes. Verification of

    Jan 1, 1975