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Application of Fuzzy Control to Improve Flow Balance of Multi-Cavity Hot Runner System 被引量:2
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作者 Chung-Ching Huang Shin-Min Hung +5 位作者 Wen-Wang Wu Yi-Jen Yang his-jung chang Jui-Wen chang Chih-Husiung Chung Shen-Houng Chen 《Journal of Mechanics Engineering and Automation》 2012年第12期726-741,共16页
In this study, we propose a new temperature compensation control strategy for a multi-cavity hot runner injection molding system, At first, the melt filling time of each cavity can be measured by installing temperatur... In this study, we propose a new temperature compensation control strategy for a multi-cavity hot runner injection molding system, At first, the melt filling time of each cavity can be measured by installing temperature sensors on the position around end filling area, and filling time difference between the various cavities can be calculated. Then the melt temperature of each hot nozzle can be adjusted automatically by a control strategy established based on the Fuzzy Theory and a program compiled with LABVIEW software. Temperature changes the melt mobility, so the adjustment of temperature can equalize the filling time of the melt in each cavity, which can reduced the mass deviation between each cavity and make product properties of each cavity consistent. The conclusion of the experiment is as follows: For this contact lens box of a four-cavity Hot Runner mold, by applying hot runner temperature compensation control system, time difference can be reduced from 0.05 s to 0.01 s at each cavity, and the mass Standard deviation of the four cavity can be improved from 0.006 to 0.002. The ratio of imbalance can be reduced from 20% to 4%. Hence, the hot runner temperature compensation control system has significant feasibility and high potential in improving melt flow balance of multi-cavity molding application. 展开更多
关键词 Fuzzy control MULTI-CAVITY flow balance hot runner molding technology temperature compensation.
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Online Monitoring the Products Quality by Measuring Cavity Pressure during Injection Molding
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作者 Chung-Ching Huang Chung-Da Lin +4 位作者 Yi-Jen Yang his-jung chang Jui-Wen chang Chih-Husiung Chung Shen-Houng Chen 《Journal of Mechanics Engineering and Automation》 2012年第11期682-687,共6页
Injection molding is a complicated production technique for the manufacturing of polymer products. During injection molding, it's hard to predict molding quality; the injection molding parameters, such as mold temper... Injection molding is a complicated production technique for the manufacturing of polymer products. During injection molding, it's hard to predict molding quality; the injection molding parameters, such as mold temperature, melt temperature, packing pressure and packing time, affect the final properties of product. The cavity pressure is a significant key factor. Residual stress and injection molding weight are significantly affected by the cavity pressure. This study created an approach to predict weight of injection-molded by real-time online cavity pressure monitoring. This study uses a 6-inch with thickness lmm light guide panel and the largest area beneath the pressure curve of time as well as the maximum pressure as its characteristic. The upper and lower limits of the control are set to +2 standard deviations, and GUI (Graphical User Interface)-based LabVIEW software is used to perform calculation and analysis of the pressure curve. The results of the experiment show that the online internal cavity pressure monitoring system can effectively monitor the quality of the molded products. In 500 injection molding cycle tests, its error rate was less than 8%, whereas the deviation in mass of the molded products selected through the system's filtering process was successfully controlled to be within ±4%. 展开更多
关键词 Injection molding internal cavity pressure online monitoring quality determination
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