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Computer-Aided Engineering of the Process of Injection Molding Articles Made of Composite Materials

机译:计算机辅助工程的复合材料制成的注塑制品的工程

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This article investigates the process of filling the stator vanes of the compressor of short-fiber polymer composite material PEEK with 40% of the reinforcing carbon fiber. The article defines the conditions of filling, depending on process parameters. The technique of optimization of process parameters of injection molding articles of complex geometry made of short-fiber polymer composites (stator blade) is tried out. The technique is based on the analysis of numerical simulation of the filling process and the orientation of the reinforcing fibers by the finite element method from the field of rational modes of casting with the use of 3-layer radial basis neural network. In the end, it is established that the desired orientation of carbon fiber (the maximum value of the orientation tensor) to the greatest extent depends on the speed of injection of the melt, for which the minimum temperature of the mold, ensuring complete filling of the form, should be maximized.
机译:本文研究了用40%的增强碳纤维填充了填充了短纤维聚合物复合材料压缩机的定子叶片的过程。本文根据进程参数定义填充条件。尝试了由短纤维聚合物复合材料(定子叶片)制成的复杂几何形状的注射成型物品的过程参数的优化技术。该技术基于铸造3层径向神经网络的合理模式的有限元方法对填充工艺数值模拟的分析和增强纤维的取向。最后,建立了最大程度的碳纤维的所需取向(取向张量的最大值)取决于注射熔体的速度,其中模具的最小温度,确保完全填充表格应该最大化。

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