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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Hidayat, Taufiq
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (24/24 displayed)
- 2023Development of experimental techniques for the phase equilibrium study in the Pb-Fe-O-S-Si system involving gas, slag, matte, lead metal and tridymite phasescitations
- 2022Experimental study, thermodynamic calculations and industrial implications of slag/matte/metal equilibria in the Cu–Pb–Fe–O–S–Si systemcitations
- 2020Experimental measurement and thermodynamic model predictions of the distributions of Cu, As, Sb and Sn between liquid lead and PbO–FeO–Fe2O3–SiO2 slagcitations
- 2020Thermodynamic assessment of the CaO–Cu2O–FeO–Fe2O3 systemcitations
- 2020The influence of temperature and matte grade on gas-slag-matte-tridymite equilibria in the Cu-Fe-O-S-Si system at p (SO2) = 0.25 atmcitations
- 2019Experimental investigation and thermodynamic modeling of the distributions of Ag and Au between slag, matte, and metal in the Cu–Fe–O–S–Si systemcitations
- 2019Distributions of Ag, Bi, and Sb as minor elements between iron-silicate slag and copper in equilibrium with tridymite in the Cu-Fe-O-Si system at T = 1250 °C and 1300 °C (1523 K and 1573 K)citations
- 2019Combined experimental and thermodynamic modelling investigation of the distribution of antimony and tin between phases in the Cu-Fe-O-S-Si systemcitations
- 2019Characterisation of the Effect of Al2O3 on the Liquidus Temperatures of Copper Cleaning Furnace Slags Using Experimental and Modelling Approachcitations
- 2019Experimental Study and Thermodynamic Calculations of the Distribution of Ag, Au, Bi, and Zn Between Pb Metal and Pb–Fe–O–Si slagcitations
- 2019Integrated experimental study and thermodynamic modelling of the distribution of arsenic between phases in the Cu-Fe-O-S-Si systemcitations
- 2019Integrated experimental and thermodynamic modelling research for primary and recycling pyrometallurgy
- 2019Experimental and thermodynamic modelling study of the effects of Al2O3, CaO AND MgO impurities on gas/slag/matte/spinel equilibria in the “Cu2O”-“FeO”-SiO2-S-Al2O3-CaO-MgO system
- 2018Microanalysis and experimental techniques for the determination of multicomponent phase equilibria for non-ferrous smelting and recycling systemscitations
- 2017Experimental investigation of gas/slag/matte/tridymite equilibria in the Cu-Fe-O-S-Si System in controlled gas atmospheres: Experimental results at 1473 K (1200 A degrees C) and P(SO2)=0.25 atmcitations
- 2017High-temperature experimental and thermodynamic modelling research on the pyrometallurgical processing of coppercitations
- 2017The integration of plant sample analysis, laboratory studies, and thermodynamic modeling to predict slag-matte equilibria in nickel sulfide convertingcitations
- 2017Experimental and modelling research in support of energy savings and improved productivity in non-ferrous metal production and recycling
- 2017Experimental investigation of gas/slag/matte/tridymite equilibria in the Cu-Fe-O-S-Si system in controlled atmospheres: Development of techniquecitations
- 2016Determination of thermodynamic properties of Ca4Fe9O17 by solid state EMF methodcitations
- 2015Recent advances in research for non-ferrous smelting and recycling
- 2013Critical assessment and thermodynamic modeling of the Cu-Fe-O systemcitations
- 2012Experimental study of ferrous calcium silicate slags: Phase equilibria at P(O(2)) between 10(-5) atm and 10(-7) atmcitations
- 2012Phase equilibria studies of Cu-O-Si systems in equilibrium with air and metallic copper and Cu-Me-O-Si systems (Me = Ca, Mg, Al, and Fe) in equilibrium with metallic coppercitations
Places of action
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document
Experimental and modelling research in support of energy savings and improved productivity in non-ferrous metal production and recycling
Abstract
Our industrialised society is currently facing significant challenges including resource scarcity, mobility issues, climate change. For pyrometallurgical processes these issues can be directly translated into increasingly complex concentrates and recycling feed streams with increasing levels of impurities that require complex metallurgical solutions; pressures to save energy, to increase productivity, to improve environmental outcomes and to establish resource resilience in a clean world with the optimised asset base. Improvements in the metal production and recycling can be made through more energy efficient metal smelting technologies, progressive integration of primary metal production and recycling, development and implementation of feed forward control and optimisation of pyrometallurgical processes based on fundamental thermodynamic and phase equilibria principles. Key to the development of the feed forward approach and process optimisation is access to accurate and robust thermodynamic models of complex multi-component, multi-phase systems that are developed through an integrated, experimental phase equilibria and thermodynamic modelling approach. New strategic opportunities for industry are now available through the recent significant progress in computer power and analytical tools as well as advances in thermodynamic and kinetics theory, and experimental methodology. Using new experimental methods key data are being obtained and advanced thermodynamic computer-based models are being developed for both copper and lead smelting systems having major elements Cu-Pb-Fe-S-O-Si with the addition of slagging elements Al, Ca, Mg and selected minor elements, including, Zn, As, Sn, Sb, Bi, Ag, Au. The copper research program is supported by a consortium of industry sponsors. Examples of the new experimental and modelling results as well as application of these advanced tools to achieving productivity improvements and energy savings are given in the paper.