In the current automotive stamping die development, the application of CAE has an effect on efforts to shorten stampig die development time. And in the forthcoming environment of automotive stamping die manufacturing industty, it would be needed more ...
In the current automotive stamping die development, the application of CAE has an effect on efforts to shorten stampig die development time. And in the forthcoming environment of automotive stamping die manufacturing industty, it would be needed more and more to examine causes of stamping errors in measurement by the application of more progressive and accurate CAE methods for the high quality part and the quick production stabilization in advance. For above reasons, the sheet metal forming analyses like spring back analysis, surfuce defect analysis, forming optimization and so on were developed and carried out to predict forming troubles before field tryout. Among them, spring back analysis was done to predict the spring back appearance that is the major reason of stamping error in measurement. In this paper, the study of quantitative spring back analysis was performed so we studied how much several numerical forming factors could have influence on springback results. In addition, we researched about the most suitable forming factors via comparison of experimental results and the improvement effect via the application of this result in the stamping die development.