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Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2011, Vol. 12 Issue (3): 201-206    DOI: 10.1631/jzus.A1000357
Material Science & Chemical Engineering     
Automated process parameters tuning for an injection moulding machine with soft computing
Peng Zhao, Jian-zhong Fu, Hua-min Zhou, Shu-biao Cui
State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China, State Key Laboratory of Material Processing and Die & Mould Technology, Huazhong University of Science and Technology, Wuhan 430074, China
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Abstract  In injection moulding production, the tuning of the process parameters is a challenging job, which relies heavily on the experience of skilled operators. In this paper, taking into consideration operator assessment during moulding trials, a novel intelligent model for automated tuning of process parameters is proposed. This consists of case based reasoning (CBR), empirical model (EM), and fuzzy logic (FL) methods. CBR and EM are used to imitate recall and intuitive thoughts of skilled operators, respectively, while FL is adopted to simulate the skilled operator optimization thoughts. First, CBR is used to set up the initial process parameters. If CBR fails, EM is employed to calculate the initial parameters. Next, a moulding trial is performed using the initial parameters. Then FL is adopted to optimize these parameters and correct defects repeatedly until the moulded part is found to be satisfactory. Based on the above methodologies, intelligent software was developed and embedded in the controller of an injection moulding machine. Experimental results show that the intelligent software can be effectively used in practical production, and it greatly reduces the dependence on the experience of the operators.

Key wordsInjection moulding machine (IMM)      Process parameters      Case based reasoning (CBR)      Empirical model (EM)      Fuzzy logic (FL)     
Received: 31 July 2010      Published: 09 March 2011
CLC:  TQ32  
Cite this article:

Peng Zhao, Jian-zhong Fu, Hua-min Zhou, Shu-biao Cui. Automated process parameters tuning for an injection moulding machine with soft computing. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2011, 12(3): 201-206.

URL:

http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A1000357     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2011/V12/I3/201

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