Optimization of Secondary Cooling Water Distribution for Billet Continuous Casting Based on Neural Network
- DOI
- 10.2991/fmsmt-17.2017.97How to use a DOI?
- Keywords
- Self-adaption; Mathematical model of solidification and heat transfer; Neural network; Secondary cooling water distribution model; Optimization; Control
- Abstract
In order to make the secondary cooling of continuous casting have the adaptive ability to adapt to the changes of process parameters in the production process, it's based on the mathematical model of solidification and heat transfer of continuous casting billet, combined with casting speed, super heat and the type of steel, the secondary cooling water distribution model is established. Furthermore, the slab cooling adaptive control system is establish based on neural network, it realize the adaptive of water distribution, and gives the design scheme of the secondary cooling water system for continuous casting. To do the site test based on the selection of 360*360mm billet of a steel production section, and the verification results show that the solidification heat transfer mathematics model can better simulate the solidification process and predict the change of the surface temperature of the slab. The slab cooling adaptive control system based on neural network can respond to the site process parameters well and give the effective control of the optimization of the secondary cooling water.
- 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/).
Cite this article
TY - CONF AU - Lirui Zhao AU - Wei Han AU - Jinhong Zhang PY - 2017/04 DA - 2017/04 TI - Optimization of Secondary Cooling Water Distribution for Billet Continuous Casting Based on Neural Network BT - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017) PB - Atlantis Press SP - 461 EP - 465 SN - 2352-5401 UR - https://doi.org/10.2991/fmsmt-17.2017.97 DO - 10.2991/fmsmt-17.2017.97 ID - Zhao2017/04 ER -