Numerical Analysis of Roll Deflection for Sendzimir Mill

Yu, Hailiang; Liu, X. H.; Lee, G. T.; Li, X. W.; Park, H. D.

doi:10.1115/1.2783256

Cited by 9 publications

(5 citation statements)

References 4 publications

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“…Therefore, the simulation of the elastic deformation of rolls was performed in two steps for each of the strip widths analyzed. Moreover, Yu et al [19] introduced a new type of numerical analysis method: the Contact Element Method (CEM) with two relative coordinates to predict the deflection of work-roll.…”

Section: Literature Reviewmentioning

confidence: 99%

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Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling

Mahshad¹,

Arasteh²

2021

Preprint

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During the strip rolling process, considerable amount of the forces of the material pressure cause elastic deformation on the work-roll, i. e., the deflection process. The uncontrollable amount of the work-roll deflection leads to the high deviations in the permissible thickness of the plate along its width. Therefore, the work-roll deflection should be controlled. In Austenitic Stainless Steels (ASS), due to the instability of the Austenite phase in a cold temperature, cold deformation leads to the production of Strain-Induced Martensite (SIM), which improves the mechanical properties. It leads to the hardening of the ASS 316L during the cold deformation, which causes the Strain-Stress curve of the ASS 316L to behave non-linearly, which distinguishes it from other categories of steels. To account for this phenomenon, we propose to utilize a Machine Learning (ML) method to predict more accurately the flow stress of the ASS 316L during the cold rolling. Furthermore, we conduct various mechanical tensile tests in order to obtain the required dataset, Stress316L, for training the neural network. Moreover, instead of using a constant value of flow stress during the multi-pass rolling process, we use a Finite Difference (FD) formulation of the equilibrium equation in order to account for dynamic behavior of the flow stress, which leads to the estimation of the mean pressure, which the strip enforces to the rolls during deformation. Finally, using the Finite Element Analysis (FEA), the deflection of the work-roll tools will be calculated. As a result, we end up with a generalized model for the calculation of the roll deflection, specific to the ASS 316L. To the best of our knowledge, this is the first model for ASS 316L which considers dynamic flow stress and SIM of the rolled plate, using FEM and an ML approach, which could contribute to the better design of the tolls. Additionally, we compare our proposed numerical method against a baseline analytical method to prove its effectiveness. Both the Stress316L dataset and the baseline implementation will be publicly available.

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Section: Literature Reviewmentioning

confidence: 99%

“…Consequently, a strip with an incorrect cross-sectional contour and diverse dimensional deviations is obtained [8]. Depending on the type of roll assembly and the design of the rolling stand, different roll gap deformations are observed with the same widths and rolling reductions [19].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling

Mahshad¹,

Arasteh²

2021

Preprint

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“…Based on Berger's theory, Hacquin et al [15] proposed a semi-analytical model by coupling with the analytical model and FEM. Yu et al [16][17][18] chosen Foppl formula as the roll flattening model and established a roll deformation model of 20-high mill. Coupled with the metal plastic deformation, the effects of work roll crown and the second intermediate non-drive roll crown on strip edge drop were analyzed.…”

Section: Introductionmentioning

confidence: 99%

Modification of Roll Flattening Analytical Model Based on the Plane Assumption

Wang

Huang

Xiao

et al. 2018

Chin. J. Mech. Eng.

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Roll flattening is an important component in the roll stack elastic deformation, which has important influence on controlling of the strip crown and flatness. Foppl formula and semi-infinite body model are the most popular analytical models in the roll flattening calculation. However, the roll flattening calculated by traditional flattening models has a great deviation from actual situation, especially near the barrel edges. Therefore, in order to improve the accuracy of roll flattening, a new model is proposed based on the elastic half plane theory. The calculation formulas of roll flattening are deduced respectively under the assumptions of plane strain and plane stress. Then, the two assumptions are combined through the method of introducing an transition coefficient, and the distribution rules of roll flattening for different rolling force, flattening width, roll length and roll diameter are analyzed by using the FEM analysis software Marc. Regarding the ratio of the length to roll end and the roll diameter as variable to fit the transition coefficient, the new model of roll flattening is established based on the elastic half plane theory. Finally, the transition coefficient is fitted to establish the model. Compared with the traditional models, the new model can effectively improve the calculation deviation in the roll end, which has important significance for accurate simulation of plate shape, especially for the distribution of rolling force between rolls.

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“…The microstructure may influenced by the recrystallization behavior, dislocations, work hardening, et. al [1,2]. Most of them have a closely contact with the local stress-strain status.…”

Section: Introductionmentioning

confidence: 99%

“…Several researches were carried on the loading status of the rolling mill by Yu etc. and inclusion evolution in the rolling deformation were studied as well [1,2]. In addition, the study of the cracks propagation and elimination was investigated [3,4].…”

Section: Introductionmentioning

confidence: 99%

FEM Analysis of the Deformation Behavior at Thickness Direction in Laboratory Plate Hot Rolling

Liu

Luo

Zhu

et al. 2014

MSF

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As significant theory evidence in thick plate or heavy gauge plate hot rolling, the deformation behavior at the thickness direction was investigated. In the present work, multi and single pass rolling processes were studied by 2D explicit dynamic finite element method (FEM) simulation and verified by laboratory hot rolling experiment. The value of stress and strain could be obtained in any passes and time in the hot rolling process accurately. The verified FEM model could be used as an important reference factor for other hot rolling processes. Strain and stress distribution data was obtained from four portions at the thickness direction. A cooper rod was knocked into the hot rolling specimen, as a reference substance to observe the deformation after the hot rolling experiment. In the multi-pass simulation with nearly 10% per-pass reduction, the core metal yield when the total reduction was 40%. The same performance could be achieved when the first pass reduction larger than 20%. However, extremely first pass reduction would cause an instability deformation result in a confusion of microstructure. Finally, the relation between the reduction and the number of rolling passes was discussed.

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Numerical Analysis of Roll Deflection for Sendzimir Mill

Cited by 9 publications

References 4 publications

Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling

Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling

Modification of Roll Flattening Analytical Model Based on the Plane Assumption

FEM Analysis of the Deformation Behavior at Thickness Direction in Laboratory Plate Hot Rolling

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