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Prediction of Minor-Element Behavior in Copper Smelting and Converting with Submerged Oxygen InjectionBy Hang Goo Kim
A computer simulation has been carried out to predict the distribution behavior of minor elements such as Pb. Zn, Bi, Sb and As in recently proposed copper smelting and converting processes with subme
Jan 1, 1991
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Cumulative Energy and Exergy Analysis of Shaft Furnace and Outocumpu Process of Copper ProductionBy B. Boryczko, J. Norwisz, Jose Escobedo Bocardo, Z. Kolenda, A. Holda
"Classical thermodynamic analysis of any thermal and chemical process is usually based on the first law of thermodynamics. Such an approach is not sufficient when deeper understanding of the nature of
Jan 1, 2008
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Outotec's Smelting Solutions in Non-Ferrous MetalsBy Tapio Ahokainen, Asmo Vartiainen
"Outotec's portfolio contains a wide variety of smelting solutions for non-ferrous metals. Some of these include flash smelting for primary copper and nickel, flash converting for copper, Ausmelt tech
Jan 1, 2012
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Variance And Heterogeneity In Melt Samples From Industrial Ferro-Alloy FurnacesBy Jacques J. Eksteen
Any effort to improve the metallurgical control of industrial furnaces employed in the primary extraction of high carbon ferroalloys are bound to fail unless the variability of the melt is not fully a
Jan 1, 2006
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The Characteristics And Conditions Of The Technical Progress Of The Nineteenth Century - Editors' NoteBy James Douglas
A century ago the AIME meeting of 1899 was held at the Palace Hotel in San Francisco California in September. For his presidential address, James Douglas presented this paper which is reprinted in ful
Jan 1, 1999
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Bioprocessing of MaterialsBy Ross W. Smith
Microorganisms are increasingly finding use in mineral processing and hydrometallurgy both for the enhancement of mineral engineering operations and for the remediation of mineral industry wastes. Som
Jan 1, 1993
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Recent Operation of Acid Plant at Sumitomo Toyo SmelterBy Kenichi Moriyama
The Sumitomo Toyo Copper Smelter started operation in 1971, as an epoch-making smelter at which 9996 of the charged sulfur could be captured. In the past ten years, the amount of treated copper concen
Jan 1, 1995
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Spectroscopic Methods for Control of Thin Film GrowthBy A. G. Jackson, S. J. P. Laube
"Control of thin films during the growth process is dependent on several parameters that are difficult to monitor, including flux of film material, pressure, substrate temperature, composition, and th
Jan 1, 1997
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Remediation Technologies For The Management of Aqueous Cyanide SpeciesBy Courtney A. Young
Cyanide is a critically important chemical to the mining and metallurgical industry. It has a strong affinity for metals making it favorable as an agent for metal finishing and treatment as well as a
Jan 1, 1998
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Modelling Metallurgical Furnaces—Making the Most of Modern Research and Development TechniquesBy Evgueni Jak
Recent advances in analytical, experimental techniques, and computer-based theoretical modelling of fundamental properties and elemental processes, provide new opportunities to develop the next level
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Clogging Of Ferro-Silicon Furnace Off-Gas Channels At High TemperaturesBy Stein Tore Johansen
Some ferro-silicon fumaces have heat-recovery equipment. Here, the recovery of electric energy from the off-gases can be increased by increasing the off-gas temperature. This is easily done by reducin
Jan 1, 1992
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Improving Inco's Mk Reactor Performance Through Application Of Praxair?s Coherent Jet (Cojet) TechnologyA novel, low-pressure adaptation of Praxair?s coherent jet technology utilizing CoJet lances was developed for application at Inco's Copper Cliff Smelter where oxygen is available in large tonnag
Jan 1, 2005
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Advanced Ceramic Composites for Improved Thermal Management in Molten Aluminum ApplicationsBy Klaus-Markus Peters, Robert M. Cravens, James G. Hemrick
"Degradation of refractories in molten aluminum applications leads to energy inefficiencies, both in terms of increased energy consumption during use as well as due to frequent and premature productio
Jan 1, 2009
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Neural Net Modelling of a Zinc Electrowinning PlantBy D. H. Rubisov
The neural networks modelling approach is one of the most elegant black-box type methods to model industrial processes. In this paper, this approach is applied to model the performance of the CEZ zinc
Jan 1, 1996
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Application Of The Porous Plug System In The Anode Furnace At Onsan Smelter (2003)By Sang-Su Lee
This paper shows the application of the porous plug system in the Mitsubishi continuous copper smelting and converting process. This system has already been adopted and utilized in the steel industry
Jan 1, 2003
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Annealing Effect and Tensile Interface Fracture Mechanism of Pure Silver Bonding WiresBy Truan-Sheng Lui, Li-Hui Chen, Hao-Wen Hsueh, Fei-Yi Hung
"Since Ag wires have similar hardness and bonding properties to Au wires, they can be applied in some pads. In the present study, the annealing effect (at 225°C~275°C for 30min) on the tensile mechani
Jan 1, 2012
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PIV Physical Modeling of Fluid Flow in the Mold of Continuous Casting of SteelBy James W. Evans, Dong Xu, Jr. Jones
A physical (water) model based on particle image velocimetry (PIV) has been constructed at UC Berkeley. The PIV technique enables the use of water modeling to quantitatively characterize the fluid flo
Jan 1, 1998
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Intelligent Real-time Carbonization ControlBy William J. Pardee, Michael A. Shaff
"Deeper materials science knowledge from mathematical models and in situ material property sensors will be exploited in next generation factory process controllers to improve productivity and quality.
Jan 1, 1988
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VAW Recycling Research Centre - Recycling Techniques For Post-Consumer PackagingBy Hartmut Rossel
VAW aluminium AG has built a "Recycling-Technikum" (Recycling Research Centre) to add a new arm to the company's Corporate Research and Development Department. The Recycling Research Centre, a pi
Jan 1, 1995
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Prediction of Austenite Decomposition During Cooling of Low and Medium-Carbon Low-Alloy SteelsBy E. Anelli
Based on experimental continuous cooling transformation (CCT) diagrams, an artificial neural network has been trained to predict the amount of microsturctural constituents and hardness resulting from
Jan 1, 2003