• DocumentCode
    3357180
  • Title

    Optimization machining of reconstructed part from orthographic image

  • Author

    Liu, Jianping ; Li, Gangwei

  • Author_Institution
    Dept. of Mech. & Electr. Eng., Foshan Polytech. Coll., Foshan, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    60
  • Lastpage
    63
  • Abstract
    To reconstruct object from its orthographic image, a new method of 3D reconstruction based on image vectorization is presented. A 3D CAD model is automatically acquired from 2D views by means of 2D primitive recognition, 3D reconstruction of primitive and combination of 3D primitive bodies. With the help of CimatronE8.5 software, reasonable procedure design and optimization toolpath planning are applied to increase machining accuracy and productivity during automatic programming for reconstructed 3D solid. Reconstructed parts are machined on the VMC-600 type machine center with FANUC system. The results of application indicate that this method has many advantages, such as quickly obtaining the CAD model of part, getting smooth machined surface, efficient machining without invalid or reduplicate feed and so on. As a result, it can be applied widely in NC machining field.
  • Keywords
    CAD; automatic programming; machining; optimisation; 2D primitive recognition; 2D views; 3D CAD model; 3D reconstruction; CimatronE8.5 software; FANUC system; VMC-600 type machine center; automatic programming; image vectorization; optimization machining; optimization toolpath planning; orthographic image; procedure design; reconstructed part; Application software; Automatic programming; Design automation; Design optimization; Image reconstruction; Machining; Productivity; Software design; Software tools; Solids; 3D reconstruction; CAD/CAM; image vectorization; optimization machining; reconstructed part;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5536104
  • Filename
    5536104