THE MAIN THERMO-STATISTICAL MODELS OF METALLURGICAL SLAGS: THEORY AND APPLICATIONS
Thermodynamic softwares are nowadays more and more used to understand and to control complex pyrometallurgical processes. Typically, in steelmaking shops, these tools can help the operator to better control the slag-metal reactions by optimizing slag compositions and/or stirring conditions, to define the deoxidation sequence, to better monitor the ferro-alloys additions at the different stages of the process, to minimize the refractory wear as well as refractory interactions with the melt, etc… These computer programs, based on different procedures to minimize the Gibbs energy, contain thermodynamic models for all the involved phases and especially for slag which remains one of the most difficult to describe particularly because of the necessity to describe the Short Range Ordering phenomenon occurring in these melts over large ranges of composition. This paper gives an overview of the existing thermodynamic models of slags, especially those based on i) the quasichemical approach such as the Cell model, the Generalized Central Atom model and the Modified Quasichemical Model and ii) associated molecule or ionic species formation approach such as the Associate Model and the Reciprocal Ionic Liquid Model. The theoretical basis will be given for each model together with examples of applications to industrial pyrometallurgical processes when available.
Oxide slags thermodynamic software quasichemical models
J. Lehmann In-Ho Jung L. Zhang
ArcelorMittal Global R&D Maizières BP 30320 57 283 Maizieres les, Metz Cedex, France McGill University, Montreal, Quebec, H3A 2B2, Canada CSIRO Process Science & Engineering, Box 312, Clayton South, Vic. 3169, Australia
国际会议
Ninth International Conference on Molten Slags,Fluxes and Salts(第九届国际熔渣、溶剂与熔盐学术会议 MOLTEN12)
北京
英文
1-19
2012-05-27（万方平台首次上网日期，不代表论文的发表时间）