Abstract
The friction between mould and solidifying shell has a critical influence on slab quality, casting productivity and operating safety. In the present paper, the online monitoring system of mould friction (MDF) based on power measurement is briefly described. Using plant records, MDF measured on a slab caster is used to investigate the response of MDF to abnormalities in continuous casting. The online measured data have also been employed to examine the influence of liquid steel quality, casting powder and oscillation mode on frictional behaviour. Finally, the present paper introduces recent developments of a prediction method for abnormalities using neural network models and presents several examples of simulation prediction. The analytical and simulation results lay the foundation for an intelligent mould with online detection of defects, adjustment of operational parameters, optimisation of monitoring system and even prediction of abnormalities in slab continuous casting.
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