Applying a Hybrid Approach for Optimizing Sheet Metal Blanking Process

摘要

Several variables affect the quality of the blanked components, which make the existing general guidelines insufficient in optimizing this process. Manufacturing personnel find themselves forced into a series of costly trial and error experiments to overcome quality issues, especially for new products. This paper presents an attempt to optimize the blanking process using systematic experimental design, numerical simulation and Monte Carlo simulation. Results show the effectiveness of combining the mentioned techniques to reduce the cost of optimizing the blanking process in addition to reducing manufacturing lead time. A robust process, against variations in its conditions, was obtained.