| Summary: | 碩士 === 國立臺北科技大學 === 車輛工程系碩士班 === 91 === The mathematical model of gas-assisted injection molding system with nonlinear dynamic is difficult to establish accurately. In this study, the model free intelligent control strategies were proposed to control this system for investigating control performances. In addition, the C-Mold software of AC Company in USA was employed to simulate analysis in gas fluid, cooling temperate, pressure distribution and gas blow, respectively. The filling short shot, filling, holding pressure filling, inside stress and deformed distribution after cooling situations in injection molding process were compared to provide an important reference for plastic injection molding in mold design, mold testing and mold manufacturing. The runner and molding conditions were selected for optimum injection molding related with dimension of gate and position design from simulation results shown.
In this study, two control strategies were proposed: (1) fuzzy controller, and (2) fuzzy controller with grey prediction. The gas-assisted injection molding system was controlled by using these intelligent controllers, which compared to traditional PID controller to investigate control performances of the system. These intelligent control strategies possess better control performances than that of PID controller for high-pressure control in gas-assisted injection molding system.
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