Development of Camber Meter in Plate Rolling

Shimada, Shintaro; Hamaguchi, Michihiko; Sugiyama, Masayuki; Tatsubo, Hirokazu

doi:10.1016/s1474-6670(17)33216-0

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They are usually due to uneven deformation of the rolled piece, and it is easy to produce camber and even side wave when the rolling piece is not uniformly deformed in the width direction. 1) These are essentially determined by the law of least resistance in plastic forming. Although the occurrence of camber can be reduced to a certain extent by manual adjustment of the gap between driving side and non-driving side, this kind of operation requires very high operator's skill and experience.…”

Section: Introductionmentioning

confidence: 99%

Camber Prediction Based on Fusion Method with Mechanism Model and Machine Learning in Plate Rolling

Ding

Kong

et al. 2021

ISIJ Int.

View full text Add to dashboard Cite

In order to realize the high-accuracy prediction of steel plate camber and the accurate control of roll gap tilt for straightness, a fusion method with mechanism model and machine learning of the strip at the exit side is investigated. Based on the basic equation of transverse asymmetric rolling, a mathematical model of plate camber curvature radius of the exit side and entry side is derived. Meanwhile, a machine vision method for camber measuring is adopted in which the subpixel coordinates of the rolled piece edges can be obtained, and the size of the plan view of rolled piece can also be settled indirectly to carry out feedback control on the camber defect. Tilt value of the roll gap can be controlled in advance to avoid the occurrence of camber which predicted with high accuracy. Prediction model of camber synthesis leveling based on PSO-LSSVM algorithm is used, the relative error is within ± 5% of both the training set and the testing set. Combine the mathematical model of roll gap tilt adjustment and PSO-LSSVM camber prediction, the roll tilt adjustment for different processes and product specification is calculated by predicting plate camber accurately to obtain good straightness for the final product, the relative error range of curvature value is within ± 6% after being compensated by PSO-LSSVM algorithm. The research result reveals that this method is suitable for camber prediction and model optimization in plate rolling process.

show abstract

Section: Introductionmentioning

confidence: 99%