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Adaptive Temporal Refinement in Injection Molding

机译:注塑成型中的适应性时间细化

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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,塑料部件(例如焊接线,毛刺或填充不足)的许多缺陷。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单纯型时空网格的背景下改进熔体前沿的时间细化[1,2]。这种新颖的离散化方法具有固有的灵活性,可以采用完全非结构化的网格,其在空间尺寸和时间尺寸中具有不同水平的分辨率,从而允许在模拟期间使用局部时间踩踏。这可能导致较高的仿真精度,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,并与模漏模拟结果进行比较。该示例还用于提供可靠的定时测量和复杂3D模具填充模拟的效率方面,同时应用自适应时间细化。

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