인공신경망을 활용한 후판 압연 조건에 따른 두께오차 예측
Prediction of Thickness Error in Plate Mill rolling using Artificial Neural Network
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In this study, a new model using artificial neural networks is proposed to improve the thickness error between the plates, which occurs when the rolling conditions change a lot during the thick rolling. The model was developed by using Python, and the input values are the change in the finish rolling temperature between the plates, the change in target tensile strength, the change in target thickness, and the change in rolling force. The new model is 31.76% better than the existing model based on the standard deviation value of the thickness error. This result is expected to reduce quality costs when applied to online models at actual production sites in the future.
Abstract
In this study, a new model using artificial neural networks is proposed to improve the thickness error between the plates, which occurs when the rolling conditions change a lot during the thick rolling. The model was developed by using Python, and the input values are the change in the finish rolling temperature between the plates, the change in target tensile strength, the change in target thickness, and the change in rolling force. The new model is 31.76% better than the existing model based on the standard deviation value of the thickness error. This result is expected to reduce quality costs when applied to online models at actual production sites in the future.
참고문헌 (4)
- Y. H. Moon, "Improvement of roll-gap set-up accuracy using a modified mill stiffness from gauge-meter diagrams", Journal of Materials Process-ing Technology, 70, pp.194~197 (1997)
- Kenichi. O., "Development of plate thickness control with high accuracy in plate mill", Tetsu-to-Hagane, 79, pp.318~325 (1993)
- Y. M. Hwang, "An investigation into the plastic deformation behavior at the roll gap during plate rolling", Journal of Materials Processing Technology, 88, pp.97~104 (1999)
- H. S. Yim, "A study on the roll gap set-up to compensate thickness variation at top-end in plate rolling", Transactions of Materials Processing, 18(4), pp.290~295 (2009)