• DocumentCode
    2183915
  • Title

    Simulation optimization applied to injection molding

  • Author

    Villarreal, María G. ; Mulyana, Rachmat ; Castro, José M. ; Cabrera-Ríos, Mauricio

  • Author_Institution
    Dept. of Ind., Welding & Syst. Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    2008
  • fDate
    7-10 Dec. 2008
  • Firstpage
    1995
  • Lastpage
    2003
  • Abstract
    In this work, a simulation optimization method developed by Villarreal and Cabrera-Rios (2007) is applied to injection molding. The method uses design of experiments and adaptive metamodeling techniques. The application of the method to several global optimization test functions as well as non linear polynomial and non polynomial functions point towards a quick convergence to highly attractive solutions with a low number of simulations. Here the method is used to select the best processing conditions for injection molding a simple rectangular plaque and a real automotive part using different performance criteria.
  • Keywords
    design of experiments; injection moulding; optimisation; polynomials; production engineering computing; adaptive metamodeling technique; design of experiment; global optimization test function; injection molding; nonlinear polynomial function; simulation optimization; Counting circuits; Design optimization; Injection molding; Metamodeling; Modeling; Optimization methods; Polynomials; Systems engineering and theory; US Department of Energy; Welding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2008. WSC 2008. Winter
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-2707-9
  • Electronic_ISBN
    978-1-4244-2708-6
  • Type

    conf

  • DOI
    10.1109/WSC.2008.4736294
  • Filename
    4736294