New strategies for predicting parison dimensions in extrusion blow molding

Polymer - Plastics Technology and Engineering

Volumn 50, Issue 13, 2011, Pages 1329-1337

  Huang, Han Xiong ^a   Li, Jiong Cheng ^a   Li, Dong ^a   Huang, Geng Qun ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Blow molding; Finite element simulation; Neural network modeling; Parison formation

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DIAMETER DISTRIBUTIONS; EXTRUSION BLOW MOLDING; FINITE ELEMENT SIMULATIONS; NEURAL NETWORK MODELING; NEW STRATEGY; PARISON FORMATION; PROCESSING CONDITION; THICKNESS DISTRIBUTIONS; THICKNESS SWELL;

EXPERIMENTS; EXTRUSION MOLDING; FORECASTING; NEURAL NETWORKS; THICKNESS CONTROL;

BLOW MOLDING;

EID: 80052839283     PISSN: 03602559     EISSN: 15256111     Source Type: Journal    
DOI: 10.1080/03602559.2011.584234     Document Type: Article

References (20)

1. Otsuki, Y.; Kajiwara, T.; Funatsu, K. Numerical simulations of annular extrudate swell using various types of viscoelastic models. Polym. Eng. Sci. 1999, 39 (10), 1969-1981.
2. Tanifuji, S.I.; Kikuchi, T.; Takimoto, J.I.; Koyama, K. Overall numerical simulation of extrusion blow molding process. Polym. Eng. Sci. 2000, 40 (8), 1878-1893.
3. Yousefi, A.M.; Collins, P.; Chang, S.; DiRaddo, R.W. A comprehensive experimental study and numerical modeling of parison formation in extrusion blow molding. Polym. Eng. Sci. 2007, 47 (1), 1-13.
4. E. Annular extrudate swell of pseudoplastic and viscoplastic fluids. J. Non-Newtonian Fluid Mech. 2007, 141 (1-2), 138-147.
5. Yousefi, A.M.; Atsbha, H. Modeling of complex parison formation in extrusion blow molding: Effect of medium to large die heads and fuel tank geometry. Polym. Eng. Sci. 2009, 49 (2), 229-239.
6. Yousefi, A.M.; Doelder, J.D.; Rainville, M.-A.; Koppi, K.A. A modeling approach to the effect of resin characteristics on parison formation in extrusion blow molding. Polym. Eng. Sci. 2009, 49 (2), 251-263.
7. Shen, C.Y.; Wang, L.X.; Cao, W.; Wu, J.X. Optimization for injection molding process conditions of the refrigeratory top cover usingcombination method of artificial neural network and genetic algorithms. Polym. Plast. Technol. Eng. 2007, 46 (2), 105-112.
8. Kuo, C.F.J.; Su, T.L.; Li, Y.C. Construction and analysis in combining the Taguchi method and the Back Propagation Neural Network in the PEEK injection molding process. Polym. Plast. Technol. Eng.2007, 46 (9), 841-848.
9. Lin, J.C.; Yang, Y.K.; Hsiao, Y.H.; Jeng, M.C. Study on injection molding parameters for thin-shell plastic parts using a neural network-based approach. Polym. Plast. Technol. Eng. 2010, 49 (1), 53-61.
10. DiRaddo, R.W.; Garcia-Rejon, A. On-line prediction of final part dimensions in blow molding: A neural network computing approach. Polym. Eng. Sci. 1993, 33 (11), 653-664.
11. DiRaddo, R.W.; Garcia-Rejon, A. Modeling of membrane inflation in blow molding: Neural network prediction of initial dimensions from final part specifications. Adv. Polym. Technol. 1993, 12 (1), 3-24.
12. Huang, H.X.; Liao, C.M. Prediction of parison swell in plastics extrusion blow molding using a neural network method. Polym. Test.2002, 21 (7), 745-749.
13. Huang, H.X.; Lu, S. Modeling parison formation in extrusion blow molding by neural networks. J. Appl. Polym. Sci. 2005, 96 (6), 2230-2239.
14. Huang, H.X.; Lu, S. Neural modeling of parison extrusion in extrusion blow molding. J. Rein. Plast. Comp. 2005, 24 (10), 1025-1034.
15. Huang, H.X.; Miao, Y.S. Finite element and neural network modeling of viscoelastic annular extrusion. J Fluids Eng-Transactions of ASME 2007, 129 (2), 218-225.
16. Huang, H.X.; Li, J.C. Fast online acquisition and analysis for parison swell and sag in blow molding. J. Appl. Polym. Sci. 2006, 101 (4), 2399-2406.
17. Tanner, R.I. Engineering Rheology, 2nd Ed., Oxford University Press: New York, 2000.
18. Cybenko, G. Approximation by superpositions of a sigmoidal function. Mathematics of Control Signal, and Systems 1989, 2 (4), 303-314.
19. Bailey, D.; Thompson, D. How to develop neural-network applications. AI Expert 1990, 5 (6), 38-47.
20. Hagan, M.T.; Demuth, H.B.; Beale, M. Neural Network Design, PWS Publishing Company: New York, 1996.