【摘 要】
：
An advanced numerical model,developed by Swerea MEFOS AB,has been used to diagnose and optimize steel casting practices for peritectic steels for a Scandinavian steel producer.The model is based on th
【机 构】
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Swerea MEFOS AB,Aronstorpsv(a)gen 1,SE 97 437 Lule(a),SWEDEN,Materials Science and Engineering Depar
【出 处】
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第十届中国钢铁年会暨第六届宝钢学术年会
论文部分内容阅读
An advanced numerical model,developed by Swerea MEFOS AB,has been used to diagnose and optimize steel casting practices for peritectic steels for a Scandinavian steel producer.The model is based on the commercial code ANSYS-FLUENT 15.0 which solves the Navier-Stokes equations by using an interface tracking technique known as Volume of Fluid(VOF)for the multiple phase system steel/slag.As a result,the model predicts metal flow and slag infiltration as well as their influence on heat flux and solidification under transient conditions.Recent improvements to the model include separation between mould powder and slag film and considering the effect of crystallization on interfacial resistance for a Peritectic mould powder through a User Defined Function(UDF).The casting parameters analysed consist ofcasting speed interlocked with oscillation settings,Submerged Entry Nozzle(SEN)immersion depth and Argon injection flow rate.These practises were optimised by performing parametric studies to evaluate shell growth,lubrication depth,cooling channel heat flux,etc.Application of the model allows the prediction of trends and opportunities for further improvement in the form of guidelines for the process and enhanced operational windows.These have been tested at industrial level showing improvements on surface quality and process stability.
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