A HYBRID SET-UP OPTIMIZATION MODEL FOR TANDEM COLD ROLLING MILL

Mohammad Hadi Mirmohammadi, Hossein Haddad, Seyed Mehdi Naghavi

2009

Abstract

Set-up optimization of the rolling process involves several parameters that may lead to complex multi objective optimization problem. Also, it is well known that experience is playing a vital role in the selection of operating parameters in rolling mill. This paper presents a combination of two optimization procedure for a multi objective optimization problem. The first optimization phase is based on Nelder and Mead simplex method which focus on balance of power, force and reduction distribution in set-up planning. Then, a real-coded genetic algorithm based optimization procedure applies on the system as an outer loop to optimize energy consumption and productivity. An experimental result of application to five stand tandem cold rolling mill is presented.

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Paper Citation


in Harvard Style

Mirmohammadi M., Haddad H. and Naghavi S. (2009). A HYBRID SET-UP OPTIMIZATION MODEL FOR TANDEM COLD ROLLING MILL . In Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-989-8111-99-9, pages 49-54. DOI: 10.5220/0002204700490054

in Bibtex Style

@conference{icinco09,
author={Mohammad Hadi Mirmohammadi and Hossein Haddad and Seyed Mehdi Naghavi},
title={A HYBRID SET-UP OPTIMIZATION MODEL FOR TANDEM COLD ROLLING MILL},
booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2009},
pages={49-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002204700490054},
isbn={978-989-8111-99-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - A HYBRID SET-UP OPTIMIZATION MODEL FOR TANDEM COLD ROLLING MILL
SN - 978-989-8111-99-9
AU - Mirmohammadi M.
AU - Haddad H.
AU - Naghavi S.
PY - 2009
SP - 49
EP - 54
DO - 10.5220/0002204700490054