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
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