In injection molding analysis, engineers depend on their experience to control process parameters such as injection time, packing and holding control, etc because there is no obvious indicator. Engineers usually analyze the same part several times wit...
In injection molding analysis, engineers depend on their experience to control process parameters such as injection time, packing and holding control, etc because there is no obvious indicator. Engineers usually analyze the same part several times with changing the process parameters to get results without defects. However, this is a burden to the engineers and a waste of time and cost. To decrease the number of analysis, this paper propose a system which has database created from previous one and automates the process of analysis. The database has dimensional properties and process parameters of existing products and the system predicts process parameters for new products with the database. To predict the process parameters, the system uses regression analysis. The regression analysis defines relation between dimensional properties and process parameters as a type of function. With this function, the system can get process parameters for new products.