• DocumentCode
    3375916
  • Title

    Identifying features in reconstructing 3D solids from sectional views

  • Author

    Wen, Yamei ; Zhang, Hui

  • Author_Institution
    Sch. of Software, Tsinghua Univ., Beijing, China
  • fYear
    2009
  • fDate
    19-21 Aug. 2009
  • Firstpage
    377
  • Lastpage
    382
  • Abstract
    Sectional views are widely used in engineering practice due to their clear and concise expression. However, large numbers of entities are missing in sectional views that makes it hard for computer to understand drawings. Feature identification is the key procedure for solids reconstruction from sectional views. Based on the analysis of the default drawing rules appearing in sectional views, a new algorithm is presented to identify and construct elemental objects in the procedure of volume-based 3D solids reconstruction. In this algorithm, a hint-based search strategy with priority principles is developed for identifying elemental features, even some of them do not have complete expression in 2D views. The algorithm is suitable for full sections, partial sections and offset sections, and there is no restriction on the number of sectional views included in one drawing. Experimental results validate our algorithm.
  • Keywords
    CAD; engineering graphics; feature extraction; solid modelling; technical drawing; 2D CAD system; 2D view; engineering drawing rule; full section; hint-based feature identification algorithm; hint-based search strategy; offset section; partial section; priority principle; sectional view; volume-based 3D solid reconstruction algorithm; Algorithm design and analysis; Assembly; Design automation; Engineering drawings; Product design; Production engineering; Reconstruction algorithms; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design and Computer Graphics, 2009. CAD/Graphics '09. 11th IEEE International Conference on
  • Conference_Location
    Huangshan
  • Print_ISBN
    978-1-4244-3699-6
  • Electronic_ISBN
    978-1-4244-3701-6
  • Type

    conf

  • DOI
    10.1109/CADCG.2009.5246872
  • Filename
    5246872