Virtual rolling quality system for cold rolling

Jari Larkiola, Jari Nylander, Martti Verho, Mika Judin

Research output: Contribution to journalArticleScientificpeer-review

Abstract

A prototype of virtual rolling quality system for a 4 stands cold rolling process is created. In this system virtual sensors and models are used to calculate quality features based on process information and analyzed history data. The virtual-sensor technology is developed for estimating of hard-to-measure variables and further on to define methods to automatically detect and hierarchically classify deviations in rolling values and strip quality related to thickness, flatness, profile, etc. The analysis of the process data is done by means of classical rolling theories, statistical methods and databased methods such as artificial neural networks to identify and quantify the main effects on strip quality. The flatness and hot strip thickness profiles are decomposed into independent components by means of Chebyshev polynomia coefficients. The strip quality related measurements are also collected to the appropriate extent from up- and downstream processing lines.
Original languageEnglish
Pages (from-to)170-173
JournalSteel Research International
Volume81
Issue number9, Proceedings
DOIs
Publication statusPublished - 2010
MoE publication typeA1 Journal article-refereed
Event13th International Conference on Metal Forming - Toyohashi, Japan
Duration: 19 Sep 201022 Sep 2010

Fingerprint

cold rolling
Cold rolling
strip
flatness
Sensors
Statistical methods
sensors
Neural networks
profiles
upstream
Processing
estimating
prototypes
histories
deviation
coefficients

Keywords

  • Cold rolling
  • Modelling
  • Friction
  • Monitoring
  • Setup calculations
  • Classification

Cite this

Larkiola, J., Nylander, J., Verho, M., & Judin, M. (2010). Virtual rolling quality system for cold rolling. Steel Research International, 81(9, Proceedings), 170-173. https://doi.org/10.1002/srin.201190002
Larkiola, Jari ; Nylander, Jari ; Verho, Martti ; Judin, Mika. / Virtual rolling quality system for cold rolling. In: Steel Research International. 2010 ; Vol. 81, No. 9, Proceedings. pp. 170-173.
@article{abea129d69b54e2798cfbdab1f898397,
title = "Virtual rolling quality system for cold rolling",
abstract = "A prototype of virtual rolling quality system for a 4 stands cold rolling process is created. In this system virtual sensors and models are used to calculate quality features based on process information and analyzed history data. The virtual-sensor technology is developed for estimating of hard-to-measure variables and further on to define methods to automatically detect and hierarchically classify deviations in rolling values and strip quality related to thickness, flatness, profile, etc. The analysis of the process data is done by means of classical rolling theories, statistical methods and databased methods such as artificial neural networks to identify and quantify the main effects on strip quality. The flatness and hot strip thickness profiles are decomposed into independent components by means of Chebyshev polynomia coefficients. The strip quality related measurements are also collected to the appropriate extent from up- and downstream processing lines.",
keywords = "Cold rolling, Modelling, Friction, Monitoring, Setup calculations, Classification",
author = "Jari Larkiola and Jari Nylander and Martti Verho and Mika Judin",
note = "Project code: 33433",
year = "2010",
doi = "10.1002/srin.201190002",
language = "English",
volume = "81",
pages = "170--173",
journal = "Steel Research International",
issn = "1611-3683",
publisher = "Wiley-Blackwell",
number = "9, Proceedings",

}

Larkiola, J, Nylander, J, Verho, M & Judin, M 2010, 'Virtual rolling quality system for cold rolling', Steel Research International, vol. 81, no. 9, Proceedings, pp. 170-173. https://doi.org/10.1002/srin.201190002

Virtual rolling quality system for cold rolling. / Larkiola, Jari; Nylander, Jari; Verho, Martti; Judin, Mika.

In: Steel Research International, Vol. 81, No. 9, Proceedings, 2010, p. 170-173.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Virtual rolling quality system for cold rolling

AU - Larkiola, Jari

AU - Nylander, Jari

AU - Verho, Martti

AU - Judin, Mika

N1 - Project code: 33433

PY - 2010

Y1 - 2010

N2 - A prototype of virtual rolling quality system for a 4 stands cold rolling process is created. In this system virtual sensors and models are used to calculate quality features based on process information and analyzed history data. The virtual-sensor technology is developed for estimating of hard-to-measure variables and further on to define methods to automatically detect and hierarchically classify deviations in rolling values and strip quality related to thickness, flatness, profile, etc. The analysis of the process data is done by means of classical rolling theories, statistical methods and databased methods such as artificial neural networks to identify and quantify the main effects on strip quality. The flatness and hot strip thickness profiles are decomposed into independent components by means of Chebyshev polynomia coefficients. The strip quality related measurements are also collected to the appropriate extent from up- and downstream processing lines.

AB - A prototype of virtual rolling quality system for a 4 stands cold rolling process is created. In this system virtual sensors and models are used to calculate quality features based on process information and analyzed history data. The virtual-sensor technology is developed for estimating of hard-to-measure variables and further on to define methods to automatically detect and hierarchically classify deviations in rolling values and strip quality related to thickness, flatness, profile, etc. The analysis of the process data is done by means of classical rolling theories, statistical methods and databased methods such as artificial neural networks to identify and quantify the main effects on strip quality. The flatness and hot strip thickness profiles are decomposed into independent components by means of Chebyshev polynomia coefficients. The strip quality related measurements are also collected to the appropriate extent from up- and downstream processing lines.

KW - Cold rolling

KW - Modelling

KW - Friction

KW - Monitoring

KW - Setup calculations

KW - Classification

UR - https://www.tib.eu/en/search/id/tema%3ATEMA20110501640/Virtual-rolling-quality-system-for-cold-rolling/

U2 - 10.1002/srin.201190002

DO - 10.1002/srin.201190002

M3 - Article

VL - 81

SP - 170

EP - 173

JO - Steel Research International

JF - Steel Research International

SN - 1611-3683

IS - 9, Proceedings

ER -

Larkiola J, Nylander J, Verho M, Judin M. Virtual rolling quality system for cold rolling. Steel Research International. 2010;81(9, Proceedings):170-173. https://doi.org/10.1002/srin.201190002