Abstract
In the continuous casting process, the internal temperature of billet is difficult to be measured and the surface temperature of billet is also difficult to be measured accurately. The steady-state heat transfer models can only be used for simulating the steady-state casting operations in off-line. For better control over the whole continuous casting cycle, recently more attention have been paid to developing real-time heat transfer models which are valid under casting condition varying frequently. Considering the heat transfer coefficient is the precondition of solving the model, and it is difficult to be measured directly. An identification method of heat transfer coefficient based on genetic algorithm was developed. According to the measured temperature and shell thickness, the heat transfer coefficient of each spray zone was determined. In order to test the dynamic performance of the real-time heat transfer model, the surface temperature was measured using the CCD (charge coupled device) temperature measurement system, which can effectively eliminate the impact of the scales on the billet surface and keep the fluctuation of the measured surface temperature within the range of ±10°C. The temperature field measurement of billet was realized by the multi-information fusion of CCD temperature measurement system, measured shell thickness and data acquisition system. This provides the possibility to improve the existing cooling system based on the feed-back control considering the measured surface temperature.
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