• DocumentCode
    1591421
  • Title

    A Novel Surface Flattening Method Based on Mesh Edges

  • Author

    Chen Gong ; Zhou Lai-shui ; An Lu-ling ; Zhang Kun

  • Author_Institution
    Sch. of Art & Design, China Univ. of Min. & Technol., Xuzhou, China
  • fYear
    2012
  • Firstpage
    129
  • Lastpage
    133
  • Abstract
    This paper proposes a novel optimal method based on mesh edges for flattening complex surfaces. In the optimal flattening model, the edge-lengths of the original surface´s mesh are selected as optimization variables, and the error of the edge-lengths between the original mesh and the optimal mesh is selected as objective function, and each internal point of the mesh being developable is selected as optimization constrain. By Newton´s Method and matrix calculating technologies, the optimization problem can be resolved, and a developable surface which has the minimum error of the edge-lengths can be constructed. Finally, a ripple-style flattening method is used to flatten the optimal developable surface, thus the flattening result of the original surface is obtained. Numerical experimental results show that the method can flatten all kinds of complex surfaces stably, quickly and accurately, and the flattening operation can be finished more simply.
  • Keywords
    Newton method; net structures (mechanical); optimisation; solid modelling; structural engineering computing; Newton method; matrix calculating technologies; optimal method; optimization variables; ripple-style flattening method; surface flattening method; surface mesh edges; Design automation; Equations; Face; Mathematical model; Optimization; Solid modeling; Sparse matrices; Complex surface; Matrix blocking; Mesh edges; Newton´s method; Optimal flattening;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4577-2120-5
  • Type

    conf

  • DOI
    10.1109/ISdea.2012.452
  • Filename
    6173165