Regression models for predicting plate plan view pattern during wide and heavy plate rolling

Ruan, Jinhua; Zhang, L. W.; Gu, Shitan; Wen, He; Chen, S. H.

doi:10.1179/1743281213y.0000000159

Cited by 6 publications

(7 citation statements)

References 30 publications

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“…The details of the FE model were described, and the reliability of the FE model of plate conventional rolling was verified by industrial tests in the previous work. 1,3 The reliability of this FE model of plate edging will be further verified later by the literature data.…”

Section: Three-dimensional Fe Model Overview For Plate Edging and Sim...mentioning

confidence: 65%

“…2, a 3D thermomechanical coupled rigid plastic FE model for V–H rolling was established by adding a vertical roll to the 3D FE model of conventional plate hot rolling developed in our previous work. 1,3 The vertical roll of ϕ950 × 600 mm was used as a rigid body with a fixed temperature of 60°C and a fixed rolling speed of 1.5 m s − 1 . A quarter of the rolled slab was taken into this FE model for reasons of symmetry in the slab thickness direction and the slab width direction.…”

Section: Three-dimensional Fe Model Overview For Plate Edging and Sim...mentioning

confidence: 99%

“…1. 3 The plate edging process includes a vertical rolling stand and a horizontal rolling stand (V–H rolling). Vertical rolling is used to reduce the plate width from W 0 to W e , during which the dog bone shape forms.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Ruan

Zhang

Wang

et al. 2015

Ironmaking & Steelmaking

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From a new viewpoint to improve plate plan view pattern during hot rolling, a plate edging process was proposed to roll back only the plate width spread of conventional rolling in this paper. Using commercial finite element (FE) analysis software DEFORM-3D, a three-dimensional rigid plastic FE model for vertical-horizontal (V-H) hot rolling was developed on the basis of a 5 m wide and heavy plate mill. Three hundred and twenty kinds of different V-H rolling processes were simulated by the FE model. Basing on the simulation results, the formation laws of dog bone shape during the vertical rolling and the width spread behaviours during the horizontal rolling were clarified. A plate edging model predicting the plate edging efficiency was established with the aid of an artificial neural network. The plate edging efficiency predicted by this plate edging model agreed well with those predicted by the existing strip edging models when the slab width/thickness ratio was small, which confirmed the validity of the plate edging model. The plate edging model expanded its application scope into the wide and heavy plate hot rolling.

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Section: Three-dimensional Fe Model Overview For Plate Edging and Sim...mentioning

confidence: 65%

Section: Three-dimensional Fe Model Overview For Plate Edging and Sim...mentioning

confidence: 99%

See 1 more Smart Citation

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

Ruan

Zhang

Wang

et al. 2015

Ironmaking & Steelmaking

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“…(Ruan et al, 2014 are the closest to our study. In Ruan et al (2014) regression analysis was used to build models to predict plate plan view pattern based on slab size and rolling parameters. Models were trained based on simulation results and validated using industry tests.…”

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

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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.

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“…Thereby, the plan view pattern of rolled plates becomes complicated because convex and concave are combined 1) . Furthermore, the end pro le is varied with thickness reduction in broad side rolling and longitudinal rolling 2,3) . This non-rectangular pro le at the width end is called width deviation and the pro le at the length end is called crop .…”

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.

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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

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Regression models for predicting plate plan view pattern during wide and heavy plate rolling

Cited by 6 publications

References 30 publications

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

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

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

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

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