Abstract
When designing a complex profile extrusion die, an iterative process has to be performed to optimize the flow channel. This procedure is time-consuming and cost-intensive. By means of FEA it is possible to pre-design the flow channel and hence to reduce the number of experimental iteration steps in order to optimize the flow channel. But this procedure only shifts the first iteration steps from practice into the computer. Up to now no procedure has been found to predict the die geometry in order to gain an even velocity profile at the outlet. In the two procedures mentioned above, optimization of the geometry is done by trial and error. In this paper a program is presented that works with a new method to optimize complex extrusion dies. It uses a combination of FEA and network theory. By means of this method it is possible to speed up the iterative optimization process. Furthermore, the user can be given a hint from the program where and how to change the geometry of the flow channel to approach the optimum velocity distribution at the outlet.
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