Stiffness analysis method of rolling mill based on process data

DOI

10.2991/icaemt-15.2015.5How to use a DOI?

Keywords

Process Data; Thickness Error Tracing; Mill Stiffness; Data Mining

Abstract

Mill stiffness is an important parameter for strip rolling mill, but it is difficult to online detect. When the wide of strip are changed, or the rollers are changed, the mill stiffness will change slightly. This change can affect the thickness precision and flatness precision significantly. Making full use of the massive process data, the mill stiffness hidden in the data was found out by data mining. Firstly, according to the structure and principle of the rolling mill, the vertical thickness error equation and transverse thick error equation were established. According the error tracing theory, the stiffness tracing formulas were established. With the experiment data of 300 experimental four roll rolling mill, the stiffness analysis of rolling mill stiffness data were reliable. Experiment results showed that the plate thickness and shape control effect were good, using the rolling stiffness values from analysis.

Copyright

© 2015, 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  - Tao Liu
AU  - Dan Yan
AU  - Gang Chen
PY  - 2015/08
DA  - 2015/08
TI  - Stiffness analysis method of rolling mill based on process data
BT  - Proceedings of the 2015 International Conference on Advanced Engineering Materials and Technology
PB  - Atlantis Press
SP  - 23
EP  - 29
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaemt-15.2015.5
DO  - 10.2991/icaemt-15.2015.5
ID  - Liu2015/08
ER  -