Load distribution ratio as a benchmark for flatness using predictive control

B. Bulut, D. Greenwood, M.J. Grimble

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

Shape control involves regulation of the internal stress in rolled Strip so that when it is cutinto sections it will lie flat on a flat surface. This, paper presents two approaches to shape control in metal rolling applications and develops methods of assessing the quality of shape, or flatness control, so that it may be improved. Two particular cases of shape control in hot strip mills are considered and are compared against a newly defined benchmark. Finally, simulation results are presented to illustrate the techniques.
LanguageEnglish
Pages555-560
Number of pages6
DOIs
Publication statusPublished - Dec 2002
Event 41st IEEE Conference on Decision and Control - Las Vegas, United States
Duration: 10 Dec 200213 Dec 2002

Conference

Conference 41st IEEE Conference on Decision and Control
CountryUnited States
CityLas Vegas
Period10/12/0213/12/02

Fingerprint

Strip mills
Residual stresses
Metals

Keywords

  • benchmark examples
  • predictive control
  • steel industry
  • load distribution
  • ratio
  • flatness

Cite this

Bulut, B., Greenwood, D., & Grimble, M. J. (2002). Load distribution ratio as a benchmark for flatness using predictive control. 555-560. Paper presented at 41st IEEE Conference on Decision and Control , Las Vegas, United States. https://doi.org/10.1109/CDC.2002.1184555
Bulut, B. ; Greenwood, D. ; Grimble, M.J. / Load distribution ratio as a benchmark for flatness using predictive control. Paper presented at 41st IEEE Conference on Decision and Control , Las Vegas, United States.6 p.
@conference{820412a6b11f451eaa1af3fb7d71ee2d,
title = "Load distribution ratio as a benchmark for flatness using predictive control",
abstract = "Shape control involves regulation of the internal stress in rolled Strip so that when it is cutinto sections it will lie flat on a flat surface. This, paper presents two approaches to shape control in metal rolling applications and develops methods of assessing the quality of shape, or flatness control, so that it may be improved. Two particular cases of shape control in hot strip mills are considered and are compared against a newly defined benchmark. Finally, simulation results are presented to illustrate the techniques.",
keywords = "benchmark examples, predictive control , steel industry, load distribution, ratio, flatness",
author = "B. Bulut and D. Greenwood and M.J. Grimble",
year = "2002",
month = "12",
doi = "10.1109/CDC.2002.1184555",
language = "English",
pages = "555--560",
note = "41st IEEE Conference on Decision and Control ; Conference date: 10-12-2002 Through 13-12-2002",

}

Bulut, B, Greenwood, D & Grimble, MJ 2002, 'Load distribution ratio as a benchmark for flatness using predictive control' Paper presented at 41st IEEE Conference on Decision and Control , Las Vegas, United States, 10/12/02 - 13/12/02, pp. 555-560. https://doi.org/10.1109/CDC.2002.1184555

Load distribution ratio as a benchmark for flatness using predictive control. / Bulut, B.; Greenwood, D.; Grimble, M.J.

2002. 555-560 Paper presented at 41st IEEE Conference on Decision and Control , Las Vegas, United States.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Load distribution ratio as a benchmark for flatness using predictive control

AU - Bulut, B.

AU - Greenwood, D.

AU - Grimble, M.J.

PY - 2002/12

Y1 - 2002/12

N2 - Shape control involves regulation of the internal stress in rolled Strip so that when it is cutinto sections it will lie flat on a flat surface. This, paper presents two approaches to shape control in metal rolling applications and develops methods of assessing the quality of shape, or flatness control, so that it may be improved. Two particular cases of shape control in hot strip mills are considered and are compared against a newly defined benchmark. Finally, simulation results are presented to illustrate the techniques.

AB - Shape control involves regulation of the internal stress in rolled Strip so that when it is cutinto sections it will lie flat on a flat surface. This, paper presents two approaches to shape control in metal rolling applications and develops methods of assessing the quality of shape, or flatness control, so that it may be improved. Two particular cases of shape control in hot strip mills are considered and are compared against a newly defined benchmark. Finally, simulation results are presented to illustrate the techniques.

KW - benchmark examples

KW - predictive control

KW - steel industry

KW - load distribution

KW - ratio

KW - flatness

U2 - 10.1109/CDC.2002.1184555

DO - 10.1109/CDC.2002.1184555

M3 - Paper

SP - 555

EP - 560

ER -

Bulut B, Greenwood D, Grimble MJ. Load distribution ratio as a benchmark for flatness using predictive control. 2002. Paper presented at 41st IEEE Conference on Decision and Control , Las Vegas, United States. https://doi.org/10.1109/CDC.2002.1184555