Research On Continuous Casting Secondary Cooling Control Model Based On Tundish Steel Liquid Temperature Measurement And Reliability

The steel liquid superheat, velocity and rule of secondary cooling are important process parameters influence on billet internal quality. Therefore, measurement reliability of tundish steel liquid temperature and velocity, and rationality of water distribution must be particularly important to a control system based on tundish steel liquid temperature and velocity feed forward. In this paper, build a tundish steel liquid temperature predict-compensate model and a efficient velocity model on practical production, as a foundation which can improve the control system based on tundish steel liquid temperature continuous measurement and velocity feed forward.The object in this paper is based on the little billet continuous casting machine of Nanjing Iron and Steel company, using the real casting parameters given by working place, get the surface temperature and thickness of the billet in various process parameter through the calculation and simulation of the solidification heat-transfer model, analyze and proof the importance of velocity and superheat in secondary cooling water distribution.First, build a tundish temperature predict compensation model. The temperature fluctuation of liquid steel of the hotplate in Nanjing Iron and Steel company is bigger comparatively, and the tundish have no heating equipment, aim at these status, we will analyze the reliability of the tundish steel liquid temperature continuous measurement, give special process to abnormal operating mode, and as a emphasis, predict the temperature while the unreliable temperature measurement within changing ladles. Build realtime model by using restricted data, and optimize the model parameters realtime by using Genetic Algorithms and data fusion technique. By using the intelligente predict compensation model built in this paper, the measurement error will be decreased within 5 ℃.