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http://dx.doi.org/10.5228/KSPP.2007.16.4.250

Improvement of Roll Profile Prediction Model in Hot Strip Rolling  

Chung, J.S. (포스코 기술연구소 공정제어연구그룹)
You, J. (포스코 기술연구소 공정제어연구그룹)
Park, H.D. (포스코 기술연구소 공정제어연구그룹)
Publication Information
Transactions of Materials Processing / v.16, no.4, 2007 , pp. 250-253 More about this Journal
Abstract
In hot strip rolling, the work roll profile is one of the main factors in predicting and correcting the strip profile. Various studies concerning the wear profile and the thermal crown of work roll have been performed, and the results of these studies have shown that the work roll profile must be predicted accurately so as to efficiently control the strip qualities such as thickness, crown, flatness, and camber. Therefore, a precise prediction model of roll profile is called for in a perfect shape control system. In this paper, a genetic algorithm was applied to improve on the roll profile prediction model in hot strip rolling. In this approach, the optimal design problem is formulated on the basis of a numerical model so as to cover the diverse design variables and objective functions. A genetic algorithm was adopted for conducting design iteration for optimization to determine the coefficient of the numerical model for minimization of errors in the result of the calculated value and the measured data. A comparative analysis showed a satisfactory conformity between them.
Keywords
Work Roll Profile; Wear; Thermal Crown; Genetic Algorithm;
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