Transactions of Materials Processing (소성∙가공)

The Korean Society for Technology of Plasticity and materials processing (한국소성∙가공학회)
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Improvement of Roll Profile Prediction Model in Hot Strip Rolling

열간압연 공정에서 롤 프로파일 예측모델 향상

  • 정제숙 (포스코 기술연구소 공정제어연구그룹) ;
  • 유종우 (포스코 기술연구소 공정제어연구그룹) ;
  • 박해두 (포스코 기술연구소 공정제어연구그룹)
  • Published : 2007.07.01
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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.

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References

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