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Strategic Study of CAE >> 2007, Volume 9, Issue 5

Pressure in Gas-assisted Injection Molding

The MOE Key Laboratory of Mechanical manufacture and Automation, Zhejiang University of Technology, Hangzhou   310014, China

Funding project:国家自然科学基金资助项目(50575208);浙江省科技攻关资助项目(2006C3142) Received: 2006-08-29 Revised: 2006-10-26

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Abstract

In this study,  an effective control method and strategy based on fuzzy neural network has been developed for gas injection pressure accurate control in gas-assisted injection. A fuzzy neural network controller with five layers and its control algorithm are established.  The learning ability of neural network is used to optimize the rules of the fuzzy logic so as to improve the adaptability of system.  The simulation of the system capability and three segmental injected pressure control are carried out under the environment of MATLAB and the results show that this theoretic model is feasible, and the control system has good characteristics and control action.

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References

[ 1 ] Shah S . Gas injection molding , current practices [J] . SPE Technical Papers ,1991 ,37 :1494 ~ 1496

[ 2 ] Chen Shiachung , Chao Shermeng . Closed-loop control of gas pressure in the gas-assisted injection molding process [J] . Advances in Polymer Technology , 1999 , 18 (2) : 137 ~ 145

[ 3 ] Chen Shiachung , Wang Shihming , Liaw Weiliang . Fast-response pressure regulation system for thin-wall gas- assisted injection molding [ J] . Int Comm Heat Mass Trasfer ,Adv Manuf ,2002 ,29(4) :459 ~ 468 link1

[ 4 ] 孙锡红 ,付沛福 ,梁继才 ,等 .气辅注塑装置参数

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