본 연구에서는 통계학적 이론 및 희귀분석에 근거한 보정함수를 모델 수정에 도입하여 조업조건별로 예측오차 요인들을 제거함으로써 예측 모델의 정도를 향상시키 고자 하였다. 이를 위해 일반강에 비해 압연하중 모델의 예측정도가 상대적으로 낮은 극저탄소강을 대상으로 하여 압연조업에 따른 압연하중 예측모델의 오차요인을 조업인 자별로 분석하였고 적용시켜 모델의 적중도를 향상시켰다.
A new deformation resistance model for hot steel strip rolling process was formulated to improve the accuracy of roll force estimation. To improve the existing deformation resistance model more precisely, a modification function was introduced in this study. For the modification function, several factors considering material and operational conditions have been investigated and the optimal modification function was determined under the principle of minimum variability. The newly formulated modification function was applied to the deformation resistance model for ultra-low carbon steel and showed improved accuracy with about 30% decrease in terms of standard deviation of predicted roll force values against measured ones.
