• DocumentCode
    3070921
  • Title

    Enhancement of ALPS packing yield using a polygon cutting model

  • Author

    Sumey, Jeffrey S. ; Klinkhachorn, Powsiri

  • Author_Institution
    Dept. of Appl. Eng. & Technol., California Univ. of Pennsylvania, PA, USA
  • fYear
    1998
  • fDate
    8-10 Mar 1998
  • Firstpage
    472
  • Lastpage
    475
  • Abstract
    The automated lumber processing system (ALPS) is a multi-disciplinary effort directed towards increasing the yield obtained from hardwood lumber boards during their process of remanufacture into secondary products (furniture, etc.). ALPS proposes a non-destructive vision system to scan a board for its dimension and the location and expanse of surface defects on it. This information is then used to determine an efficient placement of the desired wood parts. Current research on ALPS investigates the potential of increasing the yield of arbitrarily shaped cuttings from hardwood lumber by modeling the cuttings as polygons. Previously, research activity was limited to remodeling cuttings as convex polygons instead of rectangles as is used in current production systems. Research on “Poly-ALPS”; however, models cuttings as their true shape whether convex or concave. Results show an increase in yield of up to 15% as concave cuttings are allowed to “wrap” around board defects and each other during the packing operation
  • Keywords
    computational geometry; computer vision; cutting; Poly-ALPS; automated lumber processing system; board defects; concave cuttings; hardwood lumber boards; nondestructive vision system; packing yield; polygon cutting model; surface defects; Computer aided manufacturing; Computer science; Computer vision; Design optimization; Laser beam cutting; Laser theory; Machine vision; Production systems; Punching; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1998. Proceedings of the Thirtieth Southeastern Symposium on
  • Conference_Location
    Morgantown, WV
  • ISSN
    0094-2898
  • Print_ISBN
    0-7803-4547-9
  • Type

    conf

  • DOI
    10.1109/SSST.1998.660118
  • Filename
    660118