Process optimization of injection molding using an adaptive surrogate model with Gaussian process approach

Polymer Engineering and Science

Volumn 47, Issue 5, 2007, Pages 684-694

  Zhou, Jian ^a   Turng, Lih Sheng ^a  

^a University of Wisconsin Madison   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; COMPUTER AIDED DESIGN; GENETIC ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; PROCESS CONTROL; REGRESSION ANALYSIS;

ADAPTIVE SURROGATE MODEL; GAUSSIAN PROCESS (GP) APPROACH; TRAINING SAMPLES;

INJECTION MOLDING;

EID: 34248190261     PISSN: 00323888     EISSN: 15482634     Source Type: Journal    
DOI: 10.1002/pen.20741     Document Type: Article

References (23)

1. D.V. Rosato and M.G. Rosato, Injection Molding Handbook, Chapman & Hall, New York (1995).
2. S.W. Kim and L.S. Turng, Modelling Simul. Mater. Sci. Eng., 12, S151 (2004).
3. C.L. Tucker, Fundamentals of Computer Modeling for Polymer Processing, Hanser, Munich (1989).
4. R.Y. Chang and W.H. Yang, Int. J. Numer. Methods Fluids, 37, 125 (2001).
5. F. Illinca and J.F. Hetu, Int. J. Numer. Methods Eng, 53, 2003 (2002).
6. S.J. Park and T.H. Kwon, Polym. Eng. Sci., 38, 1450 (1998).
7. Y.M. Deng, Y.C. Lam, and G.A. Britton, Int. J. Prod. Res., 42, 1365 (2004).
8. L.S. Turng and M. Peic, J. Proc. of the I MECH E, Part B, J. Eng. M., 216, 1523 (2002).
9. M. Peic and L.S. Turng, SPE ANTEC Tech. Papers, 624 (2002).
10. B.H.M. Sadeghi, J. Mater. Process Tech., 103, 411 (2000).
11. J. Zhou and L.S. Turng, Int. Polym. Proc., 21, 509 (2006).
12. C. Castro, M.C. Rios, B. Lilly, and J.M. Castro. J. Polym. Eng., 25, 176, 459 (2005).
13. M.N. Gibbs and D.J.C. MacKay, Efficient Implementation of Gaussian Processes, University of Cambridge, England (1997).
14. C.A.L. Bailer-Jones, A summary of Gaussian Processes, Canvedish Laboratory, University of Cambridge, England.
15. D.J.C. Mackay, Introduction to Gaussian Processes, University of Cambridge, England (1998).
16. D.C. Montgomery, Design and Analysis of Experiments, Wiley, New York (1991).
17. J.P.C. Kleijnen, S.M. Sanchez, T.W. Lucas, and T.M. Cioppa, INFORMS J. Computing, 17, 263 (2005).
18. Y.G. Xu, G.R. Li, and Z.P. Wu, Appl. Artif. Intell., 15, 601 (2001).
19. R. Hooke and T.A. Jeeves, J ACM, 8, 212 (1961).
20. D.E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, New York (1989).
21. Moldflow Corporation, Available at http://www.moldflow.com.
22. A. Kramschuster, R. Cavitt, D. Ermer, Z.B. Chen, and L.S. Turng, Polym. Eng. Sci., 45, 1408 (2005).
23. CoreTech System Co., Ltd, Available at http://www.moldex3d.com.