Experimental Study and Application of Process Control on Hot Strip Mill's Laminar Cooling System
Wen-Hong Liu, Jun-Lin Wang
Available Online November 2016.
- https://doi.org/10.2991/ceis-16.2016.105How to use a DOI?
- laminar cooling; process control; heat transfer coefficient; feedback control; Smith predictor
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Wen-Hong Liu AU - Jun-Lin Wang PY - 2016/11 DA - 2016/11 TI - Experimental Study and Application of Process Control on Hot Strip Mill's Laminar Cooling System BT - Proceedings of the 2016 International Conference on Computer Engineering and Information Systems PB - Atlantis Press SP - 513 EP - 516 SN - 2352-538X UR - https://doi.org/10.2991/ceis-16.2016.105 DO - https://doi.org/10.2991/ceis-16.2016.105 ID - Liu2016/11 ER -