CSIRO’s multiphase reaction models and their industrial applications

Zhang, L.; Jahanshahi, Sharif; Sun, Shouyi; Chen, C.; Bourke, B.; Wright, Steven; Somerville, Michael

doi:10.1007/bf02709751

Cited by 45 publications

(42 citation statements)

References 8 publications

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“…The model was incorporated in a computational package Multi-Phase Equilibrium (MPE). [7,8] The MPE has been used by researchers and plant metallurgists for the prediction of the multiphase equilibria, and the viscosity and electrical conductivity of the slags as well.…”

Section: Introductionmentioning

confidence: 99%

An Approach to Modeling Al2O3 Containing Slags with the Cell Model

Zhang

Sun

Jahanshahi

2007

J Phs Eqil and Diff

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The cell model originally developed by Kapoor and Frohberg for binary and ternary silicate melts was later extended to multi-component liquid slags by Gaye and Welfringer. CSIRO has extended the application of this model to describe the behaviour of a large number of oxide species commonly found in metallurgical slags. One limitation of the model was that when using only binary parameters to model ternary or higher order systems, the thermodynamic behaviour of the components in Al 2 O 3 containing systems cannot be represented accurately. Based on an analysis of the structural role played by oxide components in the CaO-Al 2 O 3 -SiO 2 system, two ternary parameters have been introduced to account for the influence of Al 2 O 3 on Ca-Si interaction and CaO on Al-Si interaction, respectively. The introduction of the ternary parameters resulted in significant improvements in the model description of Al 2 O 3 containing ternary and higher order systems. As a structurally based model, the cell model calculates parameters related to the degree of polymerization in silicate melts. These parameters have been used in a structurally based viscosity model for calculating the viscosity of silicate melts. The fit to a recent set of data has demonstrated the capability of the viscosity model to account closely for the cation effects.

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Section: Introductionmentioning

confidence: 99%

An Approach to Modeling Al2O3 Containing Slags with the Cell Model

Zhang

Sun

Jahanshahi

2007

J Phs Eqil and Diff

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“…The model was incorporated in a computational package: Multi-Phase Equilibrium (MPE). 14,15) For the better description of Al 2 O 3 -containing slags, the cell model was further extended by introducing ternary parameters by Zhang et al 18) MPE has been validated and successfully applied for process design and optimization of ironmaking and non-ferrous smelting processes. 19,20) Compared with the ironmaking and non-ferrous smelting processes, the oxygen partial pressure encountered in the sintering process is much higher, likely varying from 10 Ϫ8 for the beginning of melt formation to 10 Ϫ3 atm at the end of melt formation, and therefore the sinter melt formed during sintering are expected to be rich in Fe 3ϩ .…”

Section: Methods Of Thermodynamic Calculation For Fcs Systemmentioning

confidence: 99%

“…ture [3][4][5][6][7][8][11][12][13] and between the experimental data [3][4][5][6][7][8]11) and modelling results. 9,10) In this paper, a modified version of the computational package: Multi-Phase Equilibrium (MPE) software developed by CSIRO, 14,15) was used to quantify the liquidus surface of the FeO x -CaO-SiO 2 system containing Al 2 O 3 and MgO at various intermediate oxygen partial pressures.…”

Section: Introductionmentioning

confidence: 99%

Thermodynamic Calculation of Liquidus Surface of FeOx–CaO–SiO2 System

et al. 2010

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“…[7][8][9][10][11][12] The Multi-Phase Equilibrium (MPE) is a thermodynamic package developed by CSIRO for simulating reactions between phases in multi-component and multiphase systems. [13][14][15] Through application of the thermodynamic model MPE, the viscosity and liquidus temperature of BF slags were calculated and compared with published experimental data. These comparisons showed the predicted values by the model were to be in good agreement and within experimental uncertainty.…”

Section: Operation Characteristic Of Super-large Blast Furnace Slag Imentioning

confidence: 99%