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  • AUSIMM
    Predictive spatial modelling of rock mass properties using machine learning techniques

    By J Q. Shi, M Karakus, Y Liu

    Predicting the spatial distribution of rock mass properties in cave mining is a critical challenge. In this study, we introduce a novel machine learning-based model to advance our comprehension of roc

    Sep 1, 2024

  • AUSIMM
    Australian by Product Coking Practice

    Byproduct coking is practised in three of the major Australian ironmaking centres, the Newcastle and Whyalla works of the Broken Hill Proprietary Co. Ltd. and the Port Kembla works of Australian Ir

    Jan 1, 1972

  • AUSIMM
    The Management of Project Development

    By Conway KM

    The traditional role of Australian Consultants in project development has been until recently restricted to the provision of discrete packages for survey and engineering services during the feasib

    Jan 1, 1983

  • AUSIMM
    Differential Flotation of Copper, Lead, Zinc and Iron Sulphide Minerals at Lake George Mines Pty. Ltd., Captain's Flat, New South Wales

    By Nixon J. C, Reynolds C

    Three principal features of the ore at Captain's Flat, New South Wales, tend to complicate concentration of the valuable minerals, these being:1. The ore occurs in three more or less separate bod

    Jan 1, 1952

  • AUSIMM
    Petrochemical Variations of Island Arc's Andesites (Kurile Island Arc)

    The problem of comparison of island arc's andesites in terms of petrochemical data is exa- mined. It is definitely established that only two main factors exist controlling the petroche- mical v

    Jan 1, 1987

  • AUSIMM
    Progress Report on Rod Milling at King Island Scheelite (1947) Limited

    The paper gives details of the performance of a 6-ft. by 6-ft. grate discharge ball mill which was converted into a rod mill of the overflow type and then into a grate discharge rod mill. Proposals fo

    Jan 1, 1955

  • AUSIMM
    Modelling of height of connective fractures during longwall mining

    By D Adhikary, M Khanal, B Poulsen, H Guo

    During longwall mining, the ability to reliably estimate the height of longwall mining-induced fractures is critically important in order to effectively manage mining-induced water inflows and aquifer

    Nov 30, 2018

  • AUSIMM
    Successful Mineral Resource Development at the Ernest Henry Copper-Gold Mine, NW Queensland

    By J D. Bryant

    The Ernest Henry Copper-Gold mine, the third largest copper deposit in Australia, is located 35 km NE of Cloncurry in the Mt Isa-Cloncurry mineral district of NW Queensland. Ernest Henry Mining Pty Lt

    Jan 1, 2003

  • AUSIMM
    Pre-Set Delay Electronic Detonators: Merits Opposite Programmable Systems

    By C Robertson, J Campos

    The South African mining industry first experienced en-masse use of electronic detonators in the Narrow Reef environment using AELÆs ElectrodetÖ pre-set delay system. In recent years, programmable sys

    Jan 1, 2001

  • AUSIMM
    Palaeomagnetic, Tectonic, Magmatic and Mineralisation Events in the Proterozoic of Northern Australia

    By Wyborn L. A I, Idnurm M, Hinman M. C

    Comparison of the Proterozoic Apparent Polar Wander Path (APWP) for Australia with the corresponding geology of northern Australia suggests that a number of discrete interplate tectonic events, mani

    Jan 1, 1994

  • AUSIMM
    Hot water management at PT Nusa Halmahera Minerals’ Toguraci Mine

    By J Isles, S King, A Valenza, R Lawolo, J Evert

    PT Nusa Halmahera Minerals (PT NHM) is an Indonesian joint venture company owned by a subsidiary of Newcrest Mining Limited (75 per cent) and PT Aneka Tambang (Persero) (25 per cent). PT NHM operates

    Oct 16, 2017

  • AUSIMM
    Bed Load Losses from Experimental Plots on a Rehabilitated Uranium Mine in Northern Australia

    By W D. Erskine, M J. Saynor

    Ranger Uranium Mine, surrounded by Kakadu National Park is located in the Alligator Rivers Region (ARR) in the wet-dry monsoonal tropics, 250 km east of Darwin, Northern Territory. A trial landform (T

    Jun 28, 2016

  • AUSIMM
    How are Indian mills changing their feedstock in order to address decarbonisation goals?

    By D Goel

    India, the second-largest steel manufacturer globally, achieved crude steel production of around 126 million tonnes (Mt) in the last financial year of April 2022 to March 2023 (FY23), against an insta

    Sep 18, 2023

  • AUSIMM
    Minerals Processing Automation Technology in 2007

    By R A. Medower

    This paper provides a glimpse into the future of minerals processing with emphasis on æAutomation InnovationsÆ for the new millennium, particularly those involving advanced process control and innovat

    Jan 1, 2000

  • AUSIMM
    Management Strategies Addressing Attrition in the Workplace

    Staff turnover percentages on projects in the minerals sector are at levels that would not be accepted in business less than five years ago. While this is being driven in part by the shortage in skill

    Jan 1, 2009

  • AUSIMM
    Slag volume effects on direct-reduced iron (DRI)-based electric furnace steelmaking

    By Q Zhuo, P C. Pistorius, M N. Al-Harbi

    A likely increasingly important pathway for future low-carbon ironmaking and steelmaking is the combination of gas-based direct reduction with electric furnace steelmaking (DRI-EAF route), or with ele

    Aug 21, 2024

  • AUSIMM
    Improvements in estimating strengths of loose tailings: results from the TAILLIQ research project

    By D Reid, J Vinod, M Rahman, A Fourie, T Vo, J Ayala, A Russell

    This paper reports on an industry and Australian Research Council funded research project, TAILLIQ, that is a joint initiative between four Australian Universities. The paper discusses the accuracy wi

    Jul 1, 2021

  • AUSIMM
    A Hydrometallurgical Scheme for New Zealand Sulphide Ores

    By Kelly E. G

    New Zealand suffers the disadvantage of widely scattered ore bodies, none of which is large enough to economically support its own smelter. This leads to the concept of a centrally located smelter

    Jan 1, 1980

  • AUSIMM
    A machine learning model to predict non-metallic inclusion dissolution in the metallurgical slag

    By C Xuan, J H. Park, Q Wang, C Shen, D Kumar, W Mu

    Dissolution of non-metallic inclusions in the metallurgical slag is of vital importance for cleanliness control of the steel manufacturing. With the development of high temperature confocal laser scan

    Jun 19, 2024

  • AUSIMM
    Review Lecture

    Delivered by K. B. Gross at the First Ordinary Meeting of the Australasian Institute of Mining and Metallurgy, August 18th, 1952.Mr. President, Ladies and Gentlemen:Confronted with the task of reviewi

    Jan 1, 1953