Analysis of flatness control capability based on the effect function and roll contour optimization for 6-h CVC cold rolling mill

Li, Hongbo; Zhao, Zhenwei; Kong, Ning; Bao, Renren; She, Jia; He, Fei

doi:10.1007/s00170-018-2838-4

Cited by 24 publications

(10 citation statements)

References 32 publications

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“…Cao et al [20] designed a new roll contour for improving the strip edge drop and crown in a four-high tandem mill taking advantage of a symmetrical 3D elastic-plastic FE model. Li et al [21] calculated the effect functions of IRS, WRB, and IRB with various strip widths and optimized the roll contour in a six-high CVC mill by means of a 3D elastic-plastic FE model. Jia et al [22] investigated the effects of asymmetrical bending roll on roll gap in a four-high mill by a symmetrical 3D elastic-plastic FE model.…”

Section: Introductionmentioning

confidence: 99%

Effects of Rolling Force on Strip Shape during Tandem Cold Rolling Using a Novel Multistand Finite Element Model

Lianjie

Xie

Liu

et al. 2021

steel research int.

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In the tandem cold rolling (TCR) process, the work hardening effect has a direct influence on the rolling force, which affects the strip shape, including the strip crown and flatness, significantly. However, previous studies focus on the single finite element (FE) model, ignoring the work hardening effect. To investigate the effect of the rolling force on strip shape, herein, a novel elastic–plastic multistand FE model for the TCR process with consideration of the work hardening effect is proposed for the first time using a segmentation modeling strategy, data transfer technologies, and element remesh technology. The proposed FE model is verified by comparing with industrial experimental results. The effects of rolling force on the strip crown and flatness at each stand are investigated quantitatively using the developed FE model. The results illustrate that the strip crown at 40 mm from the edge (C 40) is in a decreasing trend when the rolling force decreases from stand 1 (S1) to stand 4 (S4). By contrast, interestingly, two opposite trends of C 40 are found at stand 5 (S5). This work provides a fresh perspective on the TCR simulation and contributes to further understanding the effect of the rolling force on the strip shape.

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Section: Introductionmentioning

confidence: 99%

Effects of Rolling Force on Strip Shape during Tandem Cold Rolling Using a Novel Multistand Finite Element Model

Lianjie

Xie

Liu

et al. 2021

steel research int.

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“…According to the above analyses, it can be concluded that the effect of the IRS on the strip crown, strip flatness, loaded roll gap profile and contact normal stress between rolls were thoroughly analysed at each stand from S1 to S5, and each stand shows significantly different characteristics with various influence factors (see Figs. 11,14,and 22) and non-uniform coefficients (see Figs. 17 and 19).…”

Section: Distribution Characteristics Of Contact Normal Stress Betwee...mentioning

confidence: 99%

“…Linghu et al [21] studied the effects of the IRS on the strip crown, edge drop and contact normal stress between rolls in a CVC-6 mill via a 3D elastic-plastic FE model. Li et al [22] calculated the efficiency function of the IRS in a CVC-6 mill based on a 3D elastic-plastic FE model and proposed a segmented CVC contour to improve the edge and centre coupled wave. Wang et al [23,24] developed a 3D elastic-plastic FE model for a six high Universal Crown mill and studied the effects of the IRS on the strip crown, strip flatness, contact normal stress between rolls, elastic deflection of rolls, rolling pressure, vertical and transverse rigidity.…”

Section: Introductionmentioning

confidence: 99%

Influence of intermediate roll shifting on strip shape in a CVC-6 tandem cold mill based on a 3D multi-stand FE model

Xie

Zhang

et al. 2022

Int J Adv Manuf Technol

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Intermediate roll shifting (IRS) is widely used for improving the strip shape in the six-high tandem cold mill, but most related studies are limited to a single stand. To fill the knowledge gap, a three-dimensional (3D) multi-stand elastic–plastic finite element (FE) model was developed for a continuously variable crown (CVC)-6 tandem cold mill using data transfer, which was then validated by industrial experimental results. Based on this FE model, the effects of the IRS on the strip crown, strip flatness, loaded roll gap profile and contact normal stress between rolls at each stand were quantitatively analysed. The results show that from Stand 1 (S1) to Stand 5 (S5), the regulation ability of the IRS on the strip crown shows a decreasing trend, which depends on the strip plastic rigidity; in contrast, the regulation ability on the quadratic flatness experiences an obvious increase from S1 to Stand 4 (S4), then a drop at S5, while the IRS exerts little effect on the quartic flatness and quartic crown of the loaded roll gap. Moreover, the most uniform distribution of contact normal stress emerges at different IRSs from S1 to S5. These findings can contribute to a better understanding of the role of the IRS in controlling the strip shape during tandem cold rolling (TCR).

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“…So far, many studies have been made to further comprehend the strip crown control capacity of hot rolling mills in the rolled procedure [13]. Zamanian et al [14] designed a type of new mill for the product of a strip with zero strip crown.…”

Section: Hot Rolled Strip and Description Of Strip Crown 21 Hot Rollmentioning

confidence: 99%

Application of support vector machine for the prediction of strip crown in hot strip rolling

Song

Yuan

et al. 2020

Preprint

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In order to enhance the prediction accuracy of the strip crown and improve the quality of final product in the hot strip rolling, an optimized model based upon support vector machine (SVM) is proposed firstly. Meanwhile, for purposes of enriching data information and ensuring data quality, the actual data from a hot-rolled plant are collected to establish prediction model, as well as the prediction performance of models was evaluated by using multiple indicators. Besides, the traditional SVM model and the combined prediction models with the particle swarm optimization (PSO) and the cuckoo search (CS) optimization algorithm are also proposed. Furthermore, the prediction performance comparisons of the three different methods are discussed and validated. The results show that the CS-SVM has the highest prediction accuracy compared to the other two methods, and the root mean squared error (RMSE) of the proposed CS-SVM is 2.05µm, and 98.11% of prediction data have an absolute error below 4.5μm. In addition, the results also demonstrated that the CS-SVM not only with faster convergence speed and higher prediction accuracy but can be well applied to the actual hot strip rolling production.

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Analysis of flatness control capability based on the effect function and roll contour optimization for 6-h CVC cold rolling mill

Cited by 24 publications

References 32 publications

Effects of Rolling Force on Strip Shape during Tandem Cold Rolling Using a Novel Multistand Finite Element Model

Effects of Rolling Force on Strip Shape during Tandem Cold Rolling Using a Novel Multistand Finite Element Model

Influence of intermediate roll shifting on strip shape in a CVC-6 tandem cold mill based on a 3D multi-stand FE model

Application of support vector machine for the prediction of strip crown in hot strip rolling

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