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A method for determining the flow front velocity of a plastic melt in an injection molding process

机译:一种确定注塑成型过程中塑料熔体流动前速度的方法

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During the filling phase of an injection molding process, the flow front velocity of the plastics melt has a decisive influence on the form part quality. It has been believed that a constant flow front velocity of the melt leads to distortion-free and residual stress-free form parts. A process control strategy based on a constant flow front velocity of the melt, however, requires the full understanding of the flow front position as a function of the screw position of the injection molding machine. With current methods, this can only be achieved by direct measurements using a number of sensors inside the mold, which leads to complicated structure, great efforts, and high cost for the tooling equipment. This article proposes, designs, and develops an innovative method for determining the flow front velocity of a plastic melt in an injection molding using only one pressure sensor at the front of the screw and based on the idea of mapping a simulated filling process to a real injection molding process. The mapping ensues that the characteristic event points are identified and matched for both the simulated and real filling process. The results of the simulation analysis and experimental evaluation show that the proposed method can be used to determine the flow front position and the resulting flow front velocity of the melt within the cavity of the mold and provide evidence that the new method offers great potential to process control strategies based on machine independent parameters. POLYM. ENG. SCI., 59:1132-1145 2019. (c) 2019 Society of Plastics Engineers
机译:在注射成型过程的填充阶段期间,塑料熔体的流动前速度对形状部分质量具有决定性的影响。已经据信,熔体的恒定流动前速度导致无变形和残留的无应筋形式部件。然而,基于熔体的恒定流动前速度的过程控制策略需要充分了解流量前位置作为注塑机的螺钉位置的函数。利用当前方法,这只能通过使用模具内部的许多传感器直接测量来实现,这导致了复杂的结构,巨大的努力和工具设备的高成本。本文提出,设计和开发一种创新方法,用于在螺钉前面的一个压力传感器中仅使用一个压力传感器确定注塑成型中塑料熔体的流动前速度,并基于将模拟填充过程映射到真实的概念注塑工艺。该映射随后识别特征事件点,并匹配模拟和实际填充过程。模拟分析和实验评价结果表明,该方法可用于确定模具腔内熔体的流动前位置和所得流动的前速度,并提供了新方法提供了巨大的过程潜力基于机器独立参数的控制策略。聚合物。 eng。 SCI。,59:1132-1145 2019.(c)2019年塑料工程师协会

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