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  • AIME
    Arizona Paper - Comparative Friction Test of Two Types of Coal Mine Cars (with Discussion)

    By P. B. Liebermann

    The resistance to motion offered by mine cars is caused principally by: Rolling friction, flange friction, bending rails, bearing friction and wind resistance. With proper construction and with a fair

    Jan 1, 1917

  • AIME
    Arizona Paper - Determination of Dust Losses at the Copper Queen Reduction Works (with Discussion)

    By J. Moore Samuel

    Before the year 1909, no measurements of dust losses and flue gases had been made at the Copper Queen Reduction Works, at Douglas, Ariz. At that time the "unaccounted" loss of the smelter had reached

    Jan 1, 1917

  • AIME
    Arizona Paper - Method of Mining Talc

    By F. R. Hewitt

    The methods of mining talc are simple, and in western North Carolina are almost entirely by open cut and quarry. The larger part of the talc of this section lies in various-sized "veins''. i

    Jan 1, 1917

  • AIME
    Arizona Paper - Some Miscellaneous Wood Oils Flotation

    By R. C. Palmer

    The testing of flotation oils has occupied a large part of the time of the testing departments of various companies using the flotation process in the beneficiation of their ores. The great difference

    Jan 1, 1917

  • CIM
    Arrested Cupellation: A Step Change in Fast in-Line Fire Assay That Enables Gold Analysis at Low Concentration

    By B. Hohenstein, B. McBain, B. de Jong

    "The automated fire assay system (Fast In-line Fire Assay or FIFA) has not found acceptance in the Au mining industry as the lower measurable limit of 0.20 ppm did not allow Au tailings to be measured

    Jan 1, 2017

  • TMS
    Arsenic And Antimony Capacities In Ni-Cu Mattes And Slags

    By Jonkion M. Font, Ramana G. Reddy

    A thermodynamic model for a priori predictions of arsenic and antimony impurity capacity in Ni-Cu mattes and slags was developed based on the Reddy-Blander (RB) capacity model. The As and Sb capacitie

    Jan 1, 2014

  • CIM
    Arsenic Challenge and Control in Zijin Copper Smelter

    By X. J. Guo, Q. K. Wang, S. P. Zhong

    With depletion of traditional clean copper reserves and fast expansion of the global copper demand and smelting capacity in the past decade, more and more copper smelters have to treat copper concentr

    Jan 1, 2019

  • TMS
    Arsenic Control In Modern Smelting Processes

    By M. A. Cocquerel

    The future economic necessity of mining copper ores with a high impurity content and increased environmental awareness will require closer examination of the distribution of arsenic within copper smel

    Jan 1, 1983

  • CIM
    Arsenic removal from gold processing waste waters: the potential ineffectiveness of lime

    By Kazuteru Tozawa, Robert G. Robins

    "The stability of calcium arsenate is discussed in relation to the possible misuse of lime in the treatment of gold processing waste waters. Stability diagrams have been derived and experimental resul

    Jan 1, 1982

  • SME
    Artifact Reduced Localization of Uncertainty – Lipstick on a Pig

    By J. Boisvert, E. Daniels, C. Deutsch

    "INTRODUCTION Conventional mine planning is performed on a single resource model at a selective mining unit (SMU) scale deemed appropriate for the deposit and mining method. Estimation methods such as

    Jan 1, 2015

  • AUSIMM
    Artificial Intelligence (AI)-based predicting influence of technological innovation on stock price of iron ore mining companies

    By P Mugebe, M Yahyaei, M S. Kizil, R Low

    This paper seeks to establish an empirical relationship between the impact of mining technological innovation implementation and a company’s market value. The company’s market value is represented by

    Sep 1, 2024

  • SME
    Artificial Intelligence Algorithm for Tailing Storage Facility Soil Classification Based on CPT Measurements

    By Paweł Stefaniak, Natalia Duda-Mróz, Sergii Anufriiev, Wioletta Koperska

    Due to the high environmental risks and negative impact of a failure, tailings storage facilities (TSFs) need constant monitoring. Advanced mathematical models have been developed in the past to predi

    Jun 25, 2023

  • AUSIMM
    Artificial Neural Network Approach for Evaluation of Weight of Fallen Objects

    By D F. Akhmetov, M Yasuike, M Komazaki, Y Kawa

    Remote monitoring of geological situation at distant regions with complicated relief, including reliable detection of the rock falls and estimation of the scale of accidents, is of great importance fo

    Jan 1, 2003

  • IMPC
    Artificial Neural Network Approach For Modelling The Extraction Of Gold In The Mixer Settler

    By Sepideh Javanshir

    The process of liquid?liquid extraction of gold from chloride solution is complicated by the presence of many variables acting simultaneously in an unknown non-linear fashion for the determination of

    Sep 1, 2012

  • SME
    Artificial Neural Networks: An Emerging Technique To Model And Control Mineral Processing Plants

    By Daniel Hodouin

    Artificial neural networks (ANN) are of growing interest in a wide variety of applications. Pattern recognition, speech processing, financial analysis, signal processing and process control are at pre

    Jan 1, 1991

  • DFI
    As-Built Analysis - An Integral Part Of Pile Foundation Design

    By Dan Yang

    Pile foundation designs are performed routinely based on geotechnical information available at the time of design, often with due consideration of large uncertainties inherent to soils and site condit

    Jan 1, 2010

  • CIM
    Asarco LLC Hayden Converter Retrofit Project – An Update

    By K. Parameswaran, A. Veek, A. Fernandez, P. Safe

    ASARCO LLC (Asarco) Hayden Copper smelter, in Hayden, Arizona, has operated continuously (except for minor labor and economic curtailments) since 1912. The current plant configuration comprises INCO f

    Jan 1, 2019

  • AIME
    Asarco’s Method of Keeping Its Equipment Fleet Rolling at Maximum Efficiency

    By John J. Sense

    The Mission unit of the American Smelting and Refining Co., located 20 miles south of Tucson, Ariz., is a high-volume, 15,000 tpd operation which utilizes a relatively light equipment fleet. As such,

    Jan 3, 1964

  • AUSIMM
    Asbestiform Antigorite Occurrence in South Australia

    By P G. Self, M D. Raven, R A. Eggleton

    Investigation of an abandoned quarry near Rowland Flat in South Australia identified asbestiform antigorite as the fibrous serpentine mineral mined during the 1940s to 1978 for filler applications, no

    Jan 1, 2008

  • SME
    Asbestos, Definition(s), Detection, And Measurement ? Introduction

    By R. J. Lee

    Asbestos analysis is conceptually simple. The objective, in most environmental analyses, is to determine the number of asbestos fibers per unit area or volume in a sample. The sample may be a consumer

    Jan 1, 1979