• DocumentCode
    2860242
  • Title

    IMPOS: A Method and System for Injection Molding Optimization

  • Author

    Bai, L. ; Gong, L. ; Chen, S.

  • Author_Institution
    Shantou Univ.
  • fYear
    2006
  • fDate
    24-26 May 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    CAE techniques have, in recent years, become increasingly popular in plastic injection molding. However, in most practices, either molding parameters are not optimized or the optimization techniques are too complex to use. In this paper we discuss a fully automatic approach of integrated injection molding parameter optimization and simulation (IMPOS) to plastic injection molding problems. A working system has been developed. The experimental testing results with the system have demonstrated the efficacy of the method for handling quality problems in plastic injection molding such as warpage. In this method, a genetic algorithm is developed and integrated with an injection molding simulation system to achieve both parameter optimization and full automation of the process
  • Keywords
    genetic algorithms; injection moulding; plastics; genetic algorithm; injection molding parameter optimization and simulation; parameter optimization; plastic injection molding problems; warpage; Algorithm design and analysis; Computational modeling; Computer aided engineering; Computer simulation; Design optimization; Genetic algorithms; Injection molding; Optimization methods; Plastics; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2006 1ST IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    0-7803-9513-1
  • Electronic_ISBN
    0-7803-9514-X
  • Type

    conf

  • DOI
    10.1109/ICIEA.2006.257194
  • Filename
    4025811