Finite element simulation based plate edging model for plan view pattern control during wide and heavy plate rolling

Ruan, Jinhua; Zhang, L. W.; Wang, Z. G.; Wang, T.; Li, Y. R.; Hao, Zhu

doi:10.1179/1743281215y.0000000002

Cited by 18 publications

(13 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the literature the term plate plan pattern control is used to describe techniques and methods that are designed to ensure that produced steel plates have the desired shape and to minimize wastage (NIIR Board of Consultants & Engineers, 2006). Most of the studies related to plate plan pattern control concentrate on improving the rolling process by installing new equipment to the manufacturing line making them expensive, such as Zhang et al (2015); Inoue et al (1988), and there are not many studies where plate view pattern is improved by tuning the process parameters based on the data collected in the manufacturing line as we do in our study.…”

Section: Related Workmentioning

confidence: 99%

Recognizing Steel Plate Side Edge Shape automatically using Classi?cation and Regression Models

Siirtola

Tamminen

Ferreira

et al. 2018

Linköping Electronic Conference Proceedings

View full text Add to dashboard Cite

In the steel plate production process it is important to minimize the wastage piece produced when cutting a mother steel plate to the size ordered by a customer. In this study, we build classification and regression models to recognize the steel plate side edge shape, if it is curved or not and the amount of curvature. This is done based on time series data collected at the manufacturing line. In addition, this information needs to be presented in a way that enables fast analysis and long-term statistical monitoring. It can then be used to tune the parameters of the manufacturing process so that optimal curvature can be found and the size of the wastage piece can be reduced. The results show that using the classification and linear regression methods, the side edge shape can be recognized reliably and the amount of curvature can be estimated with high accuracy as well.

show abstract

Section: Related Workmentioning

confidence: 99%

Recognizing Steel Plate Side Edge Shape automatically using Classi?cation and Regression Models

Siirtola

Tamminen

Ferreira

et al. 2018

Linköping Electronic Conference Proceedings

View full text Add to dashboard Cite

show abstract

“…Scholars have performed a significant amount of experimental and theoretical analyses on the metal transverse flow. [1][2][3][4][5][6][7][8][9][10][11][12][13][14] At present, there are three general methods for analyzing the metal transverse flow: the three-dimensional difference method, 1,2) the finite element method [3][4][5][6] and the energy method. [7][8][9][10][11][12] One of the most widely used is the energy method, which has a high computational efficiency.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of the Metal Transverse Flow in the Roll Gap for Ultra-thin Strip Rolling Using the Energy Method

et al. 2018

View full text Add to dashboard Cite

Strip shape control theory has been developed into a relatively accurate system. However, for ultra-thin strip rolling, strip shape control is still a bottleneck affecting production. The most important problem is that the transverse flow mechanism of the metal is not accurate. In this study, based on the theory of ultra-thin strip rolling proposed by Fleck, a new metal transverse displacement model is developed using the minimum energy principle. To verify the accuracy of the new model, experiments and finite element analyses were carried out. For the transverse flow of a thin strip, grids with a line thickness of 10 μm and clear boundaries were successfully manufactured on the strip surface using lithography. The transverse displacement for different working conditions was measured after rolling. For ultra-thin strip rolling, the distribution of the transverse flow is analyzed using FEA. Finally, a comparison shows that the calculations from the new model are more consistent with the measured value and the simulation results, verifying the accuracy of the new model.

show abstract

“…But, its dog-bone pro le is different from the pro le formed in roll gap changing method in the following points: On its dog-bone shape, maximum height exists inside the end of width. And the dogbone width is smaller and the thickness changes steeply in width direction 13,14) . So, the crop pro le formed in dog-bone attening is different in the dog-bone which is formed in roll gap changing and during vertical rolling.…”

Section: Introductionmentioning

confidence: 99%

Influence of Dog-Bone Width on End Profile in Plan View Pattern Control Method in Plate Rolling

Horie¹,

Hirata²,

Tateno³

et al. 2017

Mater. Trans.

View full text Add to dashboard Cite

A plan view pattern control method for plate rolling called the Mizushima Automatic Plan View Pattern Control System (MAS) or Dog Bone Rolling (DBR) was developed. In this method, the slab is given a non-uniform thickness pro le in the width direction to obtain non-uniform elongation at following at rolling. In order to make the plate more rectangular under various rolling conditions, prediction of elongation at following at rolling is necessary. In this research, the in uence of the width of the dog-bone (overly thick part at the slab width edge) on the sh-tail length (over-elongation at the slab end) is investigated. The sh-tail length increases as the dog-bone width increases and the dog-bone width ratio decreases. These phenomena are related to the following behavior of the restriction of excessive elongation in the dog-bone because of existence of unrolled volume before roll gap entrance: As the dog-bone width increases and the dog-bone width ratio decreases, the working length of restricting stress increases. Hence, restricting stress is released earlier and the rolling length for sh-tail formation increases. As a result, the sh-tail length increases. Therefore, in prediction of the plan view pattern, not only the dog-bone thickness, but also the dog-bone width and dog-bone width ratio should be considered. [ : rolling, plate rolling, deformation behavior, model simulation, FEM, plan view pattern control, dog-bone width, crop length, mizushima automatic plan view pattern control system (MAS), dog bone rolling (DBR) Keywords

show abstract

Finite element simulation based plate edging model for plan view pattern control during wide and heavy plate rolling

Cited by 18 publications

References 17 publications

Recognizing Steel Plate Side Edge Shape automatically using Classi?cation and Regression Models

Recognizing Steel Plate Side Edge Shape automatically using Classi?cation and Regression Models

An Analysis of the Metal Transverse Flow in the Roll Gap for Ultra-thin Strip Rolling Using the Energy Method

Influence of Dog-Bone Width on End Profile in Plan View Pattern Control Method in Plate Rolling

Contact Info

Product

Resources

About