Anais do Seminário de Aciaria, Fundição e Metalurgia de Não-ferrosos


ISSN 2594-5300

38º Seminário de Aciaria - Internacional vol. 38, num.38 (2007)


Título

HOW TO IMPROVE STEEL CLEANLINESS IN CC MOULD ? - ARCELOR RESEARCH PAST EXPERIENCE AND NEW RECENT DEVELOPMENTS

HOW TO IMPROVE STEEL CLEANLINESS IN CC MOULD ? - ARCELOR RESEARCH PAST EXPERIENCE AND NEW RECENT DEVELOPMENTS

DOI

10.5151/2594-5300-0031

Downloads

Baixar Artigo 66 Downloads

Resumo

The inclusions elimination is getting more and more important to obtain clean steel, particularly in continuous casting mould, which is the last reactor where steel remains liquid. A modelling tool for predicting what happens in the caster is still a real challenge, because of the large number of phases present in the steelmaking process : liquid steel, slag layer, gas bubbles and inclusions (with a large range of composition and rheology). Phenomena occurring in the CC mould are therefore quite complex and a good description is the key factor for a reliable prediction of the steel cleanliness in mould and thus of the quality of the final products. The hydrodynamics in mould, depending on the process parameters such as the casting velocity, the argon flow rate, the mould dimensions, the nozzle design, the SEN immersion depth, can be represented by the liquid steel flow and its turbulence. These parameters directly control the inclusions behaviour in the liquid steel in the mould. Water model, mercury model and also industrial trials are investigated by some special measurements devices (Particle Image Velocimetry, Sub-meniscus Velocity Control sensor...) and by numerical simulation. This paper aims at presenting these different experimental and numerical tools, developed and used in Arcelor Research. It shows it is possible to modify flow patterns inside the mold, acting on process parameters as by taking profit of some electromagnetic (EM) actuators. Inclusions behaviour (alumina and slag) can then be positively controlled and their entrapment by the slag solidifying shell limited.

 

The inclusions elimination is getting more and more important to obtain clean steel, particularly in continuous casting mould, which is the last reactor where steel remains liquid. A modelling tool for predicting what happens in the caster is still a real challenge, because of the large number of phases present in the steelmaking process : liquid steel, slag layer, gas bubbles and inclusions (with a large range of composition and rheology). Phenomena occurring in the CC mould are therefore quite complex and a good description is the key factor for a reliable prediction of the steel cleanliness in mould and thus of the quality of the final products. The hydrodynamics in mould, depending on the process parameters such as the casting velocity, the argon flow rate, the mould dimensions, the nozzle design, the SEN immersion depth, can be represented by the liquid steel flow and its turbulence. These parameters directly control the inclusions behaviour in the liquid steel in the mould. Water model, mercury model and also industrial trials are investigated by some special measurements devices (Particle Image Velocimetry, Sub-meniscus Velocity Control sensor...) and by numerical simulation. This paper aims at presenting these different experimental and numerical tools, developed and used in Arcelor Research. It shows it is possible to modify flow patterns inside the mold, acting on process parameters as by taking profit of some electromagnetic (EM) actuators. Inclusions behaviour (alumina and slag) can then be positively controlled and their entrapment by the slag solidifying shell limited.

Palavras-chave

Continuous casting mould; CFD; Water model experiments

Continuous casting mould; CFD; Water model experiments

Como citar

Simonnet, M.; Galpin, Jean-Marie; Anderhuber, M.; Domgin, P. Gardin JF.. HOW TO IMPROVE STEEL CLEANLINESS IN CC MOULD ? - ARCELOR RESEARCH PAST EXPERIENCE AND NEW RECENT DEVELOPMENTS , p. 312-324. In: 38º Seminário de Aciaria - Internacional, Belo Horizonte, 2007.
ISSN: 2594-5300 , DOI 10.5151/2594-5300-0031