Injection Molding Process Optimization Based on Fuzzy Quality Evaluation

Author(s):  
Mehdi Moayyedian
2010 ◽  
Vol 37-38 ◽  
pp. 564-569
Author(s):  
Bao Shou Sun ◽  
Zhe Chen ◽  
Bo Qin Gu ◽  
Xiao Diao Huang

The optimization algorithm of MUD-RBFNN-GA was proposed in this article. An injection molding process optimization model of multi-factor and multi-objective was also researched. The multiple uniform designs of experiment was applied to optimize the processing parameters. During this process, the RBF neural network was established, where the melt temperature, mold temperature and packing pressure were taken as the inputs, and warpage, area of air-traps and weld-line length as the outputs, and the Moldflow simulation analysis was used to obtain the output values. By combining the algorithm with genetic algorithm and global optimization in the networks, we can get the optimal process parameters. The results show that the multi-objective optimization based on MUD-RBFNN-GA is practically applicable, and it can reduce the molding defects effectively.


2009 ◽  
Vol 87-88 ◽  
pp. 451-455
Author(s):  
Peng Cheng Xie ◽  
Bin Du ◽  
Zhi Yun Yan ◽  
Yu Mei Ding ◽  
Wei Min Yang

An expert system of precise injection molding process optimization based on Moldflow software was set up in this paper. Expert system of precise injection molding process optimization based on Moldflow-MPI module consist of optimization of packing curve, analyzer of parallelism and coaxiality, analyzer of process optimization and integrative forecaster of weld line. The system can be used in the process optimization of precise injection molding, the forecast and control of product properties, and the flaw elimination of product molding.


2021 ◽  
Vol 1798 (1) ◽  
pp. 012042
Author(s):  
Junjie Zhu ◽  
Zhiwen Qiu ◽  
Yizhi Huang ◽  
Wenhan Huang

2014 ◽  
Vol 695 ◽  
pp. 260-264
Author(s):  
Ahmad Aizuddin Bin Abd Aziz ◽  
Shamsuddin Sulaiman ◽  
Aung Lwin Moe ◽  
Aminudin bin Abu

Nowadays, plastic injection molding is widely used in the production of very complex parts and it enables to produce numerous parts within one cycle. Molding conditions or process parameters are crucial for productivity and quality of desired products. This research aims to investigate the state-of-the-art approach to find optimal parameters characteristics in plastic injection molding process. Fill time, average velocity, pressure, clamp force, cooling time and volumetric shrinkages are selected as process parameters in this research. Nokia 6680 model is used for revealing process optimization. Two case studies based on two plates and three plate moulding layout are conducted to suggest the plastic injection mold optimization process. The process parameters of two proposed layouts are compared based on Mold flow Plastics Insight (MPI) analysis results. Result show that three plate moulding satisfy not only the process quality but also the product quality characteristics in this injection moulding process.


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