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Hybrid Method for Modeling Parison Extrusion in Blow Molding

[+] Author Affiliations
Han-Xiong Huang, Yan-Sheng Miao

South China University of Technology

Paper No. IMECE2005-80347, pp. 629-636; 8 pages
doi:10.1115/IMECE2005-80347
From:
  • ASME 2005 International Mechanical Engineering Congress and Exposition
  • Fluids Engineering
  • Orlando, Florida, USA, November 5 – 11, 2005
  • Conference Sponsors: Fluids Engineering Division
  • ISBN: 0-7918-4219-3 | eISBN: 0-7918-3769-6
  • Copyright © 2005 by ASME

abstract

As the third largest plastics processing technique, blow molding is one of the fastest growing industries worldwide. In this paper, a series of simulations on the parison formation in plastics extrusion blow molding were implemented using finite element method. Then a neural network model was developed based on the numerical results. The effects of the extrusion die inclination angle, die gap, and parison length on the parison swells can be predicted using the network model. The hybrid method combining the finite element and neural network can shorten the time for the predictions drastically.

Copyright © 2005 by ASME
Topics: Extruding , Molding , Modeling

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