Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)

Study of Short Stroke Control Model on Hot Rolling Mill

Authors
Lin Tan, Lei Wang, Xibang Zhang, Fengqin Wang
Corresponding Author
Lin Tan
Available Online June 2018.
DOI
https://doi.org/10.2991/eame-18.2018.21How to use a DOI?
Keywords
hot mill; vertical rolling; short stroke control; least square
Abstract

Head and tail width defects have a negative effect on hot strip quality. This paper developed a short stroke control (SSC) model to improve the width accuracy of head and tail. The model established a database to store the data of feature points, according to the steel grade and the working condition. This paper fitted the polynomial control curves with the feature points by the least square method, and executed the control curves on the vertical rolling. The results indicate that the model is useful for strip ends width control.

Copyright
© 2018, 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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Volume Title
Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
Series
Advances in Engineering Research
Publication Date
June 2018
ISBN
978-94-6252-538-2
ISSN
2352-5401
DOI
https://doi.org/10.2991/eame-18.2018.21How to use a DOI?
Copyright
© 2018, 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  - Lin Tan
AU  - Lei Wang
AU  - Xibang Zhang
AU  - Fengqin Wang
PY  - 2018/06
DA  - 2018/06
TI  - Study of Short Stroke Control Model on Hot Rolling Mill
BT  - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
PB  - Atlantis Press
SP  - 108
EP  - 110
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-18.2018.21
DO  - https://doi.org/10.2991/eame-18.2018.21
ID  - Tan2018/06
ER  -