A rapid unfolding method based on large elasto-plastic deformation and planar mesh parameterization

被引:0
|
作者
Li B. [1 ,2 ]
Zhang X. [1 ,2 ]
Zhu X. [1 ,2 ]
Jin C. [1 ,2 ]
Zhou P. [3 ]
Hu P. [1 ,2 ]
机构
[1] The State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology
[2] School of Automotive Engineering, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology
[3] College of Automotive Engineering, Jilin University
关键词
Autobody panels; Elasto-plastic deformation; Mesh parameterization; One-step inverse forming; Triangular mesh;
D O I
10.3724/SP.J.1089.2010.11002
中图分类号
学科分类号
摘要
As a classic case of unfolding the complicated CAD models, this paper presents a rapid optimal algorithm using one-step inverse forming to simulate the process of stamping autobody panels on triangular meshes. Firstly an auxiliary mesh is produced after performing some pre-processing operations, such as hole-filling and local remeshing. An initial guess algorithm based on energy model is then applied to flatten the auxiliary mesh into a planar mesh accounting for shape distortion. The optimization process is conducted to refine the result further based on rapid large elasto-plastic deformation theory, which generates not only a good prediction of the blank shape for manufacturing but also a mesh parameterization with less area distortion and angular distortion. Numerical examples show the effectiveness of our new algorithm.
引用
收藏
页码:1266 / 1271
页数:5
相关论文
共 26 条
  • [1] Tang B., Zhao Z., Chen J., Et al., New-style and universal initial solution estimation scheme in one-step FEM, Chinese Journal of Mechanical Engineering, 43, 2, pp. 136-140, (2007)
  • [2] Bao Y., Research on one step inverse forming FEM and crash simulation of auto body part, (2004)
  • [3] Li G., Yener M., Plastic Large Strain Microstructural Mechanics, (2003)
  • [4] Zhang X.K., Hu S.B., Lang Z.K., Et al., Energy-based initial guess estimation method for one-step simulation, International Journal for Computational Methods in Engineering Science and Mechanics, 8, 6, pp. 411-417, (2007)
  • [5] Hu S., Yang Y., Lai Y., Research progress of digital geometry processing, Chinese Journal of Computers, 32, 8, pp. 1451-1469, (2009)
  • [6] Peng Q., Hu G., Survey on parameterization of triangular meshes, Journal of Computer-Aided Design & Computer Graphics, 16, 6, pp. 731-739, (2004)
  • [7] Floater M.S., Hormann K., Surface parameterization: A tutorial and survey, Advances in Multi-Resolution for Geometric Modeling, Mathematics and Visualization, pp. 157-186, (2005)
  • [8] Levy B., Petitjean S., Ray N., Et al., Least squares conformal maps for automatic texture atlas generation, ACM Transactions on Graphics, 21, 3, pp. 362-371, (2002)
  • [9] Desbrun M., Meyer M., Alliez P., Intrinsic parameterizations of surface meshes, Computer Graphics Forum, 21, 3, pp. 209-218, (2002)
  • [10] Sheffer A., de Sturler E., Parameterization of faceted surfaces for meshing using angle-based fattening, Engineering with Computers, 17, 3, pp. 326-337, (2001)