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General Information
    • ISSN: 2010-3697  (Online)
    • Abbreviated Title: Int. J. Model. Optim.
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET), EBSCO, etc.
    • E-mail ijmo@iacsitp.com
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2012 Vol.2(2): 114-118 ISSN: 2010-3697
DOI: 10.7763/IJMO.2012.V2.96

Manufacturing Process Identification for the Reheating Furnace Walking Hearth Type Using Genetic Algorithm

Pongam T., Srisertpol J. and Khomphis V.

Abstract—The Reheating Furnace Walking Hearth Type is the key of the different rolling steel process sizes. Steel in the furnace is heated to high temperature range from 950 to 1150 ºC at least 30 minutes. Because of this reason, the system requires an optimal controller for control the temperature inside each zone of the furnace. If the temperature of the steel is not proper to the process, it will affect the quality of the rolling steel process such as damage in ironing broad and increase electrical energy consumption in rolling process. The factors affecting the price of wire rod are electrical power and oil fuel consumption. Consequently, the steel production manufacture select the time from 10:30 PM to 8:00 AM for steel production because it has low cost. In addition, the process will stop during the day time. This paper presents the mathematical model of Reheating Furnace Walking Hearth Type using Genetic Algorithm. This method can estimate the parameters of the reheating furnace mathematical model from measuring temperature in each zone of the reheating process. The results of the research lead to optimal controller design for the reheating furnace. Moreover, the temperature responses show that the controller can reduce fuel consumption rate of the system.

Index Terms—Heat transfer, control theory, system identification, genetic algorithm.

The authors are with the school of mechanical engineering, Institute of engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand, 30000 (correspondence author, phone:+6644224412; fax: +6644224163; e-mail: jiraphon@sut.ac.th; thanawat30_p@hotmail.com; e-mail: vorapot@sut.ac.th).


Cite: Pongam T., Srisertpol J. and Khomphis V., "Manufacturing Process Identification for the Reheating Furnace Walking Hearth Type Using Genetic Algorithm," International Journal of Modeling and Optimization vol. 2, no. 2, pp. 114-118, 2012.

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