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Adaptive Temporal Refinement in Injection Molding

机译:注塑成型中的自适应时间细化

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Mold filling is an injection molding stage of great significance, because many defects of the plastic components (e.g. weld lines, burrs or insufficient filling) can occur during this process step. Therefore, it plays an important role in determining the quality of the produced parts. Our goal is the temporal refinement in the vicinity of the evolving melt front, in the context of 4D simplex-type space-time grids [1,2]. This novel discretization method has an inherent flexibility to employ completely unstructured meshes with varying levels of resolution both in spatial dimensions and in the time dimension, thus allowing the use of local time-stepping during the simulations. This can lead to a higher simulation precision, while preserving calculation efficiency. A 3D benchmark case, which concerns the filling of a plate-shaped geometry, is used for verifying our numerical approach [3]. The simulation results obtained with the fully unstructured space-time discretization are compared to those obtained with the standard space-time method and to Moldflow simulation results. This example also serves for providing reliable timing measurements and the efficiency aspects of the filling simulation of complex 3D molds while applying adaptive temporal refinement.
机译:模具填充是一种注射成型阶段具有重要意义的,因为在该过程步骤期间可以发生塑料部件的许多缺陷(例如焊接线,填充物或填充不足)。因此,它在确定所产生的部件的质量方面起着重要作用。我们的目标是在4D Simplex型时效网格的上下文中的不断变化的熔体前沿附近的时间细化[1,2]。这种新颖的离散化方法具有固有的灵活性,用于采用完全非结构化的网格,在空间尺寸和时间尺寸中,在空间尺寸和时间尺寸中都具有不同的分辨率,从而允许在模拟期间使用局部踩踏。这可以导致更高的仿真精度,同时保持计算效率。涉及填充板状几何形状的3D基准情况用于验证我们的数值方法[3]。将通过完全非结构化的时空离散化获得的模拟结果与标准时空方法获得的那些和模漏模拟结果。该示例还用于提供可靠的定时测量和复合3D模具的填充模拟的效率方面,同时应用自适应时间细化。

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