| Autor: |
Porcher, Felipe, Gruber, Georg F., Borger, Paul, Piotrowski, Bartlomiej, Rohnstock, Falk, Auhl, Dietmar W. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3158 Issue 1, p1-6, 6p |
| Abstrakt: |
Injection molding (IM) is one of the most widely used polymer manufacturing process. An important design variable for determining final part quality of IM parts is the gate location, which strongly influences the filling pattern inside the cavity. However, identifying the optimal gate locations that improves multiple performance indicators simultaneously is non-trivial. In this work, the simulation-based optimization approach was used for the gate location optimization problem. Here, the optimization problem is solved via response surface methodology (RSM) and numerical optimization. An automated workflow was implemented in order to establish the communication between IM (Autodesk Moldflow®) and optimization (ANSYS optiSLang®) software. Moreover, the workflow is also responsible for mapping designs generated via the Space filling Latin Hypercube sampling method onto valid gate regions. This regions are user-defined sets of nodes and elements from the 3D-mesh of a IM model. A test case of a tumble dryer part called Rear Frame was conducted in order to verify different aspects of the automated workflow for short fiber reinforced thermoplastics. In total, three optimization goals were investigated: injection pressure, flatness and a combination thereof. The automated workflow successfully identified better gate locations for the multi-gated test case. In summary, the method demonstrated remarkable assistance in the identification of optimal gate locations for the injection molding process of short fiber reinforced thermoplastics. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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