• DocumentCode
    2083064
  • Title

    Application of genetic algorithm in rapid prototyping

  • Author

    Zhao, Jibin ; Xia, Renbo ; Liu, Weijun ; Xu, Jinting

  • Author_Institution
    Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang, China
  • Volume
    1
  • fYear
    2008
  • fDate
    17-19 Nov. 2008
  • Firstpage
    481
  • Lastpage
    485
  • Abstract
    Part-building orientation (PBO) and scanning direction of path planning (SDPP) are two tasks of process plan in rapid prototyping technology (RPT). Through investigating the geometric issues of STL model and process planning of RPT. This paper establishes optimizing model based on the considerations of staircase effect, support area and production time. And then, through analyzing the hatching characteristic of polygonal contours, approximately optimization model of direction of scanning vectors is established. The best part-building orientation is obtained by solving the general satisfactory degree function employing genetic algorithm and the optimal scanning direction is also solved by genetic algorithm. Two cases of experiment show that GA can effectively solve not only the determination problem of part-building orientation but also the optimization problem of scanning direction in RP.
  • Keywords
    genetic algorithms; path planning; process planning; rapid prototyping (industrial); genetic algorithm; part-building orientation; path planning; polygonal contours; production time; rapid prototyping; scanning direction; staircase effect; support area; Costs; Genetic algorithms; Geometry; Intelligent systems; Knowledge engineering; Path planning; Process planning; Production; Prototypes; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-2196-1
  • Electronic_ISBN
    978-1-4244-2197-8
  • Type

    conf

  • DOI
    10.1109/ISKE.2008.4730979
  • Filename
    4730979