Thermal management in laminated die system

International Journal of Control, Automation and Systems

Volumn 12, Issue 4, 2014, Pages 794-804

  Seo, Jaho ^a   Khajepour, Amir ^b   Huissoon, Jan P ^b  

^a Korea Institute of Machine and Materials   (South Korea)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Fuzzy logic; laminated die; plastic injection moulding; self tuning PID control; system identification; various cycle times

Indexed keywords

CONTROLLERS; FUZZY LOGIC; IDENTIFICATION (CONTROL SYSTEMS); LAMINATING; MOLDING; TEMPERATURE CONTROL; THREE TERM CONTROL SYSTEMS;

COMPARATIVE STUDIES; CONTROL PARAMETERS; LAMINATED DIES; NEURAL NETWORK TECHNIQUES; PLASTIC INJECTION; RADIAL BASIS FUNCTION NEURAL NETWORKS; SELF-TUNING PID; VARIOUS CYCLE-TIMES;

DIES;

EID: 84901354353     PISSN: 15986446     EISSN: 20054092     Source Type: Journal    
DOI: 10.1007/s12555-013-0348-6     Document Type: Article

References (29)

1. W. Bishenden and R. Bhola, "Die temperature control," Transaction of the 20th International Die Casting Congress and Exposition, North American Die Casting Association, pp. 161-164, 1999.
2. L. Kong, F. She, W. Gao, S. Nahavandi, and P. Hodgson, "Integrated optimization system for high pressure die casting processes," Journal of Materials Processing Technology, vol. 201, pp. 629-634, 2008.
3. R. Dubay, B. Pramujati, and J. Hernandez, "Cavity temperature control in injection molding," Proc. of IEEE International Conference on Mechatronics and Automation, pp. 911-916, 2005.
4. F. Gao, W. Patterson, and M. Kamal, "Dynamics and control of surface and mold temperature in injection molding," International Polymer Processing, vol. 8, pp. 147-157, 1993.
5. R. Dubay, "Self-optimizing MPC of melt temperature in injection moulding," ISA Transactions, vol. 41, no. 1, pp. 81-94, 2002.
6. C. Lu and C. Tsai, "Adaptive decoupling predictive temperature control for an extrusion barrel in a plastic injection molding process," IEEE Trans. on Industrial Electronics, vol. 48, no. 5, pp. 968-975, 2001.
7. C. Tsai and C. Lu, "Multivariable self-tuning temperature control for plastic injection molding process," IEEE Trans. on Industry Applications, vol. 34, no. 2, pp. 310-18, 1998.
8. R. Vetter, D. Maijer, M. Huzmezan, and D. Meade, "Control of a die casting simulation using an industrial adaptive model-based predictive controller," Proc. of the Symposium Sponsored by the Extraction and Processing Division of the Minerals, Metals and Materials Society, pp. 235-246, 2004.
9. P. Dickens, "Research developments in rapid prototyping," Proc. Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 209, pp. 261-266, 1995.
10. H. Ahari, A. Khajepour, and S. Bedi, "Manufacturing optimization of laminated tooling with conformal cooling channels," Rapid Prototyping Journal, vol. 17, no. 6, pp. 429-440, 2011.
11. X. Xu, E. Sachs, and S. Allen, "The design of conformal cooling channels in injection molding tooling," Polymer Engineering and Science, vol. 41, no. 7, pp. 1265-1279, 2001.
12. H. Hu, F. Chen, X. Chen, Y. Chu, and P. Cheng, "Effect of cooling water flow rates on local temperatures and heat transfer of casting dies," Journal of Materials Processing Technology, vol. 148, pp. 439-451, 2004.
13. G. Potsch and W. Michaeli, Injection Molding: An Introduction, Hanser/Gardner, 1997.
14. J. Seo, A. Khajepour, and J. Huissoon, "Optimal sensor location in laminated die system," ASME Journal of Dynamic Systems, Measurement and Control, vol. 134, no. 2, 2011.
15. J. Hernandez, R. Dubay, and B. Pramujati, "A new scheme for controlling part cooling in plastic injection molding," International Journal of Polymer Processing, vol. 22, no. 3, pp. 276-283, 2007.
16. X. He and H. Asada, "A new method for identifying orders of input-output models for nonlinear dynamic systems," Proc. American Control Conference, pp. 2520-2523, 1993.
17. J. Sola and J. Sevilla, "Importance of input data normalization for the application of neural networks to complex industrial problems," Transactions on Nuclear Science, vol. 44, pp. 1464-1468, 1997.
18. http://www.webplas.ca
19. http://www.santoprene.com
20. C. Gong, Y. Feng, J. Wang, and Y. Song, "A fuzzy-PID control system of PTFE sintering furnace based on Lonworks," Proc. of 26th China Control Conference, pp. 266-269, 2007.
21. T. Yang, H. Hu, X. Chen, Y. Chu, and P. Cheng, "An intelligent control system for die thermal management," Proc. Automation & Control/Advanced Metallurgical Models/Sensors, pp. 11-20, 2005.
22. T. Yang, X. Chen, and H. Hu, "A fuzzy PID thermal control system for die casting processes," Proc. of IEEE Multi-conference on Systems and Control, pp. 389-394, 2008.
23. E. Mamdani, "Advances in the linguistic synthesis of fuzzy controllers," International Journal of Man-Machine Studies, vol. 8, pp. 669-678, 1976.
24. B. Guo, H. Liu, Z. Luo, and F. Wang, "Adaptive PID controller based on BP neural network," International Joint Conference on Artificial Intelligence, pp. 148-150, 2009.
25. G. Arfken, Mathematical Methods for Physicists, Academic Press, 1985.
26. J. Wang, C. Zhang, and Y. Jiang, "Adaptive PID control with BP neural network self-tuning in exhaust temperature of micro gas turbine," Proc. of the 3rd IEEE Conference on Industrial Electronics and Applications, pp. 532-537, 2008.
27. M. Zhang, X. Wang, and M. Liu, "Adaptive PID control based on RBF neural network identification," Proc. of the 17th IEEE International Conference on Tools with Artificial Intelligence, pp. 681-683, 2005.
28. J. Jiang, S. Wen, Z. Zhou, and H. He, "Fuzzy barrel temperature PID controller based on neural network," Proc. of the Congress on Image and Signal Processing, pp. 90-94, 2008.
29. L. Yu, S. Fei, and X. Li, "RBF neural networksbased robust adaptive tracking control for switched uncertain nonlinear systems," International Journal of Control, Automation, and Systems, vol. 10, no. 2, pp. 437-443, 2012.