2009
DOI: 10.1179/174328109x443329
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Bottom design optimisation of electric arc furnace for ferromanganese production using nodal wear model

Abstract: This paper presents the optimisation on the design of the lining of an electric arc furnace that produces refined ferromanganese by applying the nodal wear model. This model is a new tool that systematises the wear/corrosion analysis applied to industrial furnaces linking the basic theoretical knowledge of the physical chemistry of wear/corrosion phenomena and the industrial conditions. The use of this tool to optimise the process helped increase the number of tappings between furnace bottom rebuilds from 19 i… Show more

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Cited by 5 publications
(2 citation statements)
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“…Verdeja et al (2003) have made a quantitative prediction for the wear processes of the lining of EAF for LCFeMn refining by applying the mathematical formulation of the Nodal Wear Model (NWM) and the corrosion mechanism of two different kinds of lining have been investigated. Parra et al (2009) have optimised the design of lining of the EAF by using the nodal wear model. The corrosion was analysed by combining the theoretical knowledge and the industrial situation hence the accuracy is quite high.…”
Section: Modelling Of Lining and Refractory Of Safmentioning
confidence: 99%
“…Verdeja et al (2003) have made a quantitative prediction for the wear processes of the lining of EAF for LCFeMn refining by applying the mathematical formulation of the Nodal Wear Model (NWM) and the corrosion mechanism of two different kinds of lining have been investigated. Parra et al (2009) have optimised the design of lining of the EAF by using the nodal wear model. The corrosion was analysed by combining the theoretical knowledge and the industrial situation hence the accuracy is quite high.…”
Section: Modelling Of Lining and Refractory Of Safmentioning
confidence: 99%
“…It is possible to state therefore that the furnace used for the manufacture of refined ferroalloy that was used until the year 2000, can be defined according to the previously mentioned criteria, such as model M (18; 5.0; 14-19). 1,3) In this model, the global heat transport coefficient from point 43 to point 14 of : is the maxima concentration of silicon in mass% (equilibrium concentration) in ferromanganese to the temperature of the node "i". The value of the maximum concentration of silicon concentration is tied to the following thermodynamic balance 4,6) :…”
mentioning
confidence: 99%