Experimental Study and Application of Process Control on Hot Strip Mill's Laminar Cooling System

The performance of hot strip mill depends on the cooling process after hot rolling. One important point of improving the technology of controlled cooling after rolling is understanding the effect of process parameters. Heat transfer coefficient is a significant physical parameter during the cooling process. However, there are a lot of difficulties to solve it directly. In this paper, a mathematical model of inverse heat conduction problem is built and the laminar cooling process is studied by experiment. And then control models and control strategies on hot strip mill's laminar cooling system, including feedforward control and feedback control of coiling temperature with smith predictor, is introduced. They are necessary for the control precision of coiling temperature and have been used on site. And good performance has been got.