Details of Grant 

EPSRC Reference:	GR/R79005/01
Title:	Heat transfer and fluorine emissions from the mould in continuous casting
Principal Investigator:	Mills, Professor KC
Other Investigators:	Lee, Professor P
Researcher Co-Investigators:
Project Partners:	Metallurgica Tata Steel Limited
Department:	Materials
Organisation:	Imperial College London
Scheme:	Standard Research (Pre-FEC)
Starts:	01 October 2002	Ends:	30 November 2005	Value (£):	252,559
EPSRC Research Topic Classifications:	Materials Processing
EPSRC Industrial Sector Classifications:	Manufacturing
Related Grants:
Panel History:
Summary on Grant Application Form
This proposal seeks to gain an understanding of mould flux behaviour in the continuous casting mould. It aims to provide the steelmaker with a logical method of selecting mould flux compositions to provide optimum powder consumption and minimum fluorine emissions It contains five elements:(1) To carry out extensive plant trials and laboratory measurements to provide essential information for the determination of the vertical heat flux and the rate of fluorine emission in the mould (2) using these measured data to develop empirical routines to relate flux properties (eg. liquidus temperature, viscosity, break temperature, thermal conductivity, melting rate etc) to their composition and (3) to incorporate these routines into sub-models relating the optimum horizontal heat flux and powder consumption for the casting conditions (mould dimensions, casting speed, oscillation characteristics, steel grade) to determine the optimum flux composition and (4) to further develop a 1-D, FDM mathematical model of the mould flux bed ( which predicts both the temperature profiles in the bed and the rate of fluorine emissions) by extending it to 2-D and by incorporating the sub-models and (5) to develop macro- models to determine the relation between horizontal and vertical heat flux and the economic and environmental impact of reducing the fluorine content of the mould powders. The experimental data are urgently needed to validate ( and tune) the predictions of the FDM fluidised bed model. .
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Organisation Website:	http://www.imperial.ac.uk