张向奎

个人信息Personal Information

教授

博士生导师

硕士生导师

任职 : 教育部工业装备监测与控制工程研究中心副主任

性别:男

毕业院校:吉林大学

学位:博士

所在单位:控制科学与工程学院

学科:检测技术与自动化装置. 车辆工程

办公地点:大连理工大学海山楼B1605

联系方式:zhangxk@dlut.edu.cn

电子邮箱:zhangxk@dlut.edu.cn

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Initial solution estimation for one-step inverse isogeometric analysis in sheet metal stamping

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论文类型:期刊论文

第一作者:Zhang, Xiangkui

通讯作者:Zhu, XF (reprint author), Dalian Univ Technol, Sch Automot Engn, State Key Lab Struct Anal Ind Equipment, Dalian 116024, Peoples R China.; Zhou, Y (reprint author), Beihang Univ, Beijing Key Lab High Efficient Power Transmiss &, Sch Transportat Sci & Engn, Beijing 100191, Peoples R China.

合写作者:Hu, Ping,Ma, Zheng-Dong,Zhu, Xuefeng,Wang, Changsheng,Liu, Haibo,Zhou, Yu,Gai, Yundong,Zhao, Chao,Zheng, Guojun,Hang, Zhizhou

发表时间:2018-03-01

发表刊物:COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

收录刊物:SCIE、EI

卷号:330

页面范围:629-645

ISSN号:0045-7825

关键字:One-step inverse isogeometric analysis; Initial solution estimation; One-step inverse approach; Sheet metal forming; NURBS

摘要:Recently, Isogeometric Analysis (IGA) based on incremental methods for simulating the stamping process has been researched. To the best of our knowledge, however, few studies have combined IGA and One-step inverse approach which is based on total deformation theory of plasticity. A key step for One-step inverse IGA is to estimate a good initial solution. Traditional mesh-based initial solution algorithms for One-step inverse approach are not suitable for One-step inverse NURBS-based IGA. In this paper, we presented a method which can rapidly unfold the undevelopable NURBS surface onto a planar domain and obtain a good initial solution estimation for One-step inverse IGA. The key idea of the presented method is unfolding the control net of a NURBS surface for isogeometric analysis by energy-based initial solution estimation algorithm. In addition, we developed a "cutting-stitching" algorithm which can separate a complex control net into several parts with simple shapes. Numerical examples illustrate the initial solutions using the presented method are approaching the final results by One-step inverse finite element method. This implies that the iterative steps and computational time of One-step inverse IGA will be reduced significantly compared with that of One-step inverse finite element method. (C) 2017 Elsevier B.V. All rights reserved.