In recent years, many automation technologies and equipment are applied for new injection molding systems to execute automation for Industry 4.0. However, there are a lot of the existed injection machines or systems which are not ready for automation yet. Before automatic manufacturing, how to retain good quality is one of the crucial factors in injection molding. In this study, we have focused on how to discover the performance problem of some existed injection machine to face the automation challenge using CAE technology. In the real testing case, we have demonstrated that CAE simulation prediction can be regarded as the ideal target for manufacturing. Furthermore, it is also estimated the difference between simulation prediction and real exper-imental result quantitatively. However, after careful comparison on the amount of the driving force to gen-erate deviation from the target, the real experimental result presents almost the same trend and the same amount as numerical predicted. Moreover, we also tried to compensate the under-performance problem of the real experiment using a series of packing pressure settings suggested by numerical simulation. Results showed that quality can be improved significantly.
