On-line Optimization And Detection Of Process Parameters For Plastic Injection Molding Machine

In this paper, a new process parameters optimization approach for plastic injection molding machine based on artificial intelligence method and online detection technology is proposed. The study in this paper is of great significance and wide application prospect.Based on the system characteristics of the injection molding process and considering the nonlinear relationship between the process parameters and the quality of the molded parts, a hybrid intelligent model employing case-based reasoning and fuzzy inference has been constructed according to the molding personnel's thinking during the molding trial-runs and with a view to the characters and advantages of artificial intelligence method. The model can be used to determine the initial process parameters and optimize the process parameters on-line.In practice, non-optimized process parameters results in long cycle time and unstable quality of products. Acquiring all the running information accurately is the base of optimizing the process parameters. In this paper, a portable real-time data collection system for injection molding machine has been developed. The developed system has been used to study the running characteristics of injection molding machine, and based on the collected data, the packing parameters have been optimized.Injection molding is a non-isothermal, non-steady process during which the temperature and pressure change greatly. On-line detecting this behavior is of importance for improving final product performance during processing. In this paper, ultrasonic technique has been employed to monitor the injection molding process. Based on the reflection and transmission behaviors at interface as well as the response for temperature and pressure, ultrasonic technique can provide the information on filling, solidification and detachment during injection molding process.On the basis of above achievements, embedded programming method has been adopted to construct an intelligent system for optimizing the process parameters of injection molding machine. The developed system integrates with the molding machine directly and can be effectively used to set up the process parameters and correct them on-line. Experimental studies show that the intelligent system is applicable to any complex mold geometry and any polymer, and compared with "trial-and-error" method, the system can quickly determine suitable process parameters to produce perfect products at minimum cost.