Abstract
This research utilizes an image-vision-system to measure the size of the product-burr. The relational expression was established between the clearance of micro punching die and burr size after blanking the composite material via a neural network. This can help to anticipate the burr size under any clearance and used cycles of punching die. The purposes of this research are: (1) it can predict the used cycles of punching die at any clearance between the punch and die, the engineer can change the punching dies at right moment to prevent the bad product from producing; (2) it can utilize this research to find out the optimum clearance condition which can avoid bad design of the punching die, which will take long time to repaired the punching die.
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