Initial guess of rigid plastic finite element method in hot strip rolling | |
G. L. Zhang; S. H. Zhang; J. S. Liu; H. Q. Zhang; C. S. Li; R. B. Mei | |
2009 | |
发表期刊 | Journal of Materials Processing Technology
![]() |
ISSN | 0924-0136 |
卷号 | 209期号:4页码:1816-1825 |
摘要 | Although the rigid plastic finite element method (RPFEM) is extremely efficient and particularly suitable for analyzing the strip rolling, it is unavailable for online application due to the large computational time. During iterative solution of RPFEM, the convergence speed is greatly determined by the initial guess. In this paper, three different initial guesses are constructed through Engineering method, G Functional and Neural Network, respectively. Especially, the back propagation neural network model for predicting the relative velocity field (nodal velocities/roll speed) is trained from huge amounts of RPFEM results. Whereafter, the initial guess is calculated by multiplying the predicted relative velocity field by the roll speed. The numerical examples of seven passes hot strip rolling are provided to show the solution efficiency and the accuracy of RPFEM code in the cases of different initial guess. Compared with other two methods, the Neural Network has the remarkable advantages to reduce the CPU time and the iterations of RPFEM code. From the numerical results, it is found that the CPU time, stability and the accuracy of RPFEM code in the initial guess by the Neural Network can meet the requirements of online control completely in hot strip rolling. (c) 2008 Elsevier B.V. All rights reserved. |
部门归属 | [zhang, g. l.; zhang, s. h.; liu, j. s.] chinese acad sci, inst met res, shenyang 110016, peoples r china. [zhang, h. q.] shenyang univ, shenyang 110044, peoples r china. [li, c. s.; mei, r. b.] northeastern univ, state key lab rolling & automat, shenyang 110014, peoples r china.;zhang, sh (reprint author), chinese acad sci, inst met res, shenyang 110016, peoples r china;shzhang@imr.ac.cn |
关键词 | Rigid Plastic Finite Element Method Strip Rolling Initial Guess Neural Network Metal-forming Processes Neural-network Diagonal Matrix Simulation Force Mill Fem |
URL | 查看原文 |
WOS记录号 | WOS:000263802100024 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.imr.ac.cn/handle/321006/32532 |
专题 | 中国科学院金属研究所 |
推荐引用方式 GB/T 7714 | G. L. Zhang,S. H. Zhang,J. S. Liu,et al. Initial guess of rigid plastic finite element method in hot strip rolling[J]. Journal of Materials Processing Technology,2009,209(4):1816-1825. |
APA | G. L. Zhang,S. H. Zhang,J. S. Liu,H. Q. Zhang,C. S. Li,&R. B. Mei.(2009).Initial guess of rigid plastic finite element method in hot strip rolling.Journal of Materials Processing Technology,209(4),1816-1825. |
MLA | G. L. Zhang,et al."Initial guess of rigid plastic finite element method in hot strip rolling".Journal of Materials Processing Technology 209.4(2009):1816-1825. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
2300.pdf(895KB) | 开放获取 | -- |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论