Search Documents

Sort by

  • SME
    Computational Fluid Dynamics Modeling of a Methane Gas Explosion in a Full‐Scale, Underground Longwall Coal Mine (Mining, Metallurgy & Exploration)

    By Jürgen. F. Brune, CLAIRE STREBINGER, ADITYA JUGANDA, Gregory E. Bogin Jr

    The abstract highlights the risk of methane gas explosions in underground coal mines and the potential of computational fluid dynamics (CFD) modeling to simulate such events and assess their impact on

    Mar 27, 2022

  • TMS
    Computational Fluid Dynamics: A Tool for the Materials Technology

    By A. Dutta, B. Devulapalli, A. Mukhopadhyay, E. W. Grald

    "Computational Fluid Dynamics (CFO) has matured over the past two decades as an analysis tool for conducting virtual experiments with significant time and cost savings. It complements and reduces phys

    Jan 1, 2004

  • IMPC
    Computational Insights into the Interaction Mechanism of Floatation Reagents with Chalcopyrite and High-Throughput Screening Floatation Reagent for Copper Ores

    By Chenyang Zhang, Zhigang Yin, Jianyong He, Yuehua Hu

    "A lot of floatation reagents (collectors, inhibitors and regulators) for the beneficiation of copper ores have been well developed in the past century. However, it is still unclear about the micro in

    Jan 1, 2018

  • TMS
    Computational Modelling Of Heap Leach Processes

    By M. Cross

    Heap leaching presents a complex physico-chemical process to model and a significant challenge to develop a comprehensive model enabling reliable predictions of heap behavior over the long term. A com

    Jan 1, 2006

  • TMS
    Computational Modelling Of Metallurgical Processes: Achievements And Challenges

    By Mark Cross, Diane McBride, Nick Croft

    Extractive metallurgical processes rate amongst the most complex from the perspective of computational modeling. They typically involve multi-phase and multi-component fluid flow in very complex geome

    Jan 1, 2014

  • TMS
    Computational Modelling of Thermomechanical Phenomena

    "Many industrial processes involve materials that are subject to temperature change and thermal stress. Examples range from the casting of large metallic products to the cooling and reliability of sma

    Jan 1, 2001

  • CIM
    Computational power and ion-exchange modelling

    By J. Abrahams, A. Nesbitt

    Over the past half-century, researchers have commented on the complexities of ion-exchange processes, but have been forced to use gross assumptions to simplify the associated mathematics sufficiently

    Jan 1, 2005

  • TMS
    Computational Simulations and Experimental Validation of a Furnace Brazing Process

    By F. Michael Hosking

    Modeling of a furnace brazing process is described. The computational tools predict the thermal response of loaded hardware in a hydrogen brazing furnace to programmed furnace profiles. Experiments we

    Jan 1, 1998

  • TMS
    Computational Software for the Casting Industry -- A Perspective on Current and Future Issues1

    By A. J. Paul, K. O. Yu

    "Today, foundries are moving towards the use of models and design tools to gain a competitive advantage in producing castings of high desired quality. This leads to a growing alliance between foundrie

    Jan 1, 1994

  • TMS
    Computational Thermodynamics in Materials Science

    By Günter Petzow, Hans Leo Lukas, Hans Jürgen Seifert

    "The CALPHAD method (CALculation of PHAse Diagrams) has been extensively developed in the last 25 years and became a useful tool in materials science. Thermodynamic descriptions for the functions of s

    Jan 1, 1996

  • AIME
    Computer -Aided Torsional Analysis for Mill Drive Reliability

    By W. R. Marks

    Computer-aided torsional analysis of grinding mill drives is defined and related to the mill design process. Equations of torsional dynamics are developed for general mechanical drives. Consideration

    Jan 1, 1984

  • CIM
    Computer Adjustment of Metallurgical Balances

    By H. W. Smith, N. Ichiyen

    A convenient method for the calculation of metallurgical balances, based on statistical treatment of all available data, is presented. An error analysis is included. Examples show the advantages of th

    Jan 1, 1973

  • TMS
    Computer Aided Design of Hybrid Plasma Reactors for Use in Materials Synthesis

    By N. El-Kaddah, J. W. McKelliget

    "A mathematical model for the analysis and design of hybrid plasma reactors for advanced materials synthesis is presented. The model is based upon a solution of the electromagnetic vector potential eq

    Jan 1, 1988

  • AUSIMM
    Computer Aided Design System for Mineral Beneficiation, Which Allows for Liberation

    By Prince R. G H, Guerney P. J, Frew J. A, Vanderkruk C. R, Wanigasekara-Mohoti D. K

    This computer-aided design system for mineral processing flowsheets which are based on froth flotation, size reduction and classification combines an expert system for generating flowsheet structure

    Jan 1, 1997

  • CIM
    Computer Aided Detection of Fault Zones by Using Drill Hole Data

    By M. S. Ünal

    Creation of 3D model of coal seams is a tedious and time consuming operation. Computer aided 3D solid modelling of coal seams can be performed in a fast and detailed manner. However, in case of having

    Aug 1, 2013

  • TMS
    Computer Aided Metal Casting a Tool for Design and Foundry Engineers

    By John R. Howell

    "SUMMARYThe process of producing a new cast component requires significant design and development by both the design engineer and the foundry engineer. This effort strives to produce a high quality co

    Jan 1, 1986

  • AUSIMM
    Computer Aided Mineral Identification

    A microcomputer based expert system is presented for fast and cheap mineral identification. Because of the increasing pipularityof and interest for minerals and precious stones (selling, hobby polishi

    Jan 1, 1985

  • CIM
    Computer Control Experiments at Lake Dufault

    By H. W. Smith, C. L. Lewis

    "A process control computer has been installed in the Lake Dufault concentrator to: (a) control the on-stream X-ray analyzer and convert chart readings to elemental percentages, (b) calculate the flow

    Jan 1, 1969

  • AIME
    Computer Control Improves Metallurgy At Tennessee Copper's Flotation Plant

    By Bobby P. Faulkner

    The Tennessee Copper Co.'s flotation plant, refer- T red to as London Mill, processes approximately 4800 tons of a massive complex sulfide ore per day. The ore is predominantly pyrrhotite and pyr

    Jan 11, 1966

  • AIME
    Computer Control In Flotation Plants

    By H. W. Smith

    This paper presents a review of developments to date in computer control practice, based in large part on Canadian experience. The basic problem examined is that of stabilizing control; matters consid

    Jan 1, 1976