Neural network approach to predict melt temperature in injection molding processes

Chinese Journal of Chemical Engineering

Volumn 8, Issue 4, 2000, Pages 326-331

  Baoguo, Wang ^a,b   Furong, Gao ^a   Polock, Yue ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b TIANJIN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

MELTING; NEURAL NETWORKS; NOZZLES; OPTIMIZATION; THERMAL EFFECTS;

PLASTICATION PHASE;

INJECTION MOLDING;

EID: 0034506502     PISSN: 10049541     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. Rosato, D., Plastics Processing Data Handbook, 2nd edition, Chapman & Hall, London (1997).
2. Rosato, D. V., Rosato, D. V., Injection Molding Handbook, Chapman & Hall, New York (1995).
3. Yang, Y., Adaptive control of injection molding process, M. Phil. Thesis, Hong Kong University of Science & Technology, Hong Kong (1998).
4. Zhao, Ch. H., Experimental analysis and simulation on injection molding melt temperature, M. Phil. Thesis, Hong Kong University of Science & Technology, Hong Kong (1998).
5. Wang, B. G., Gao, F., Yue, P., "Neural network prediction of melt temperature at plastication phase", Proceeding of the 2nd East Asia Polymer Conference (EAPC-2), 353-354, Hong Kong University of Science & Technology, Hong Kong (1999).
6. Taguchi, G., System of Experimental Design, White Planins, New York (1992).
7. FIDAP 8.0 User's manual, Fluid Dynamics International, New Jersey (1998).
8. Demuth, H., Beale M., Neural Network Toolbox-User's Guide, The Math Works Inc., (1993).