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

DOI

10.2991/ceis-16.2016.105How to use a DOI?

Keywords

laminar cooling; process control; heat transfer coefficient; feedback control; Smith predictor

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/ceis-16.2016.105
ID  - Liu2016/11
ER  -