首页> 外文期刊>Journal of Advanced Mechanical Design, Systems, and Manufacturing >Simultaneous optimization of variable injection velocity profile and process parameters in plastic injection molding for minimizing weldline and cycle time
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Simultaneous optimization of variable injection velocity profile and process parameters in plastic injection molding for minimizing weldline and cycle time

机译:可变注射速度曲线的同时优化塑料注塑成型中的过程参数,以使焊绳和循环时间最小化

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Weldline that is formed when two or more melt fronts meet is one of the major defects in plastic injection molding (PIM), which has an influence on not only the appearance but also the strength of a plastic product. Consequently, it is preferable to reduce it as much as possible for high product quality. On the other hand, high productivity is always required in the PIM. In other words, cycle time should be minimized. To achieve the high product quality and productivity, process parameters such as melt temperature, cooling time and so on plays an important role. In this paper, the process parameters in PIM are optimized for minimizing the weldline and the cycle time simultaneously. In particular, variable injection velocity that the injection velocity varies during the PIM process is adopted and optimized. A novel weldline evaluation is also proposed. Numerical simulation in PIM is so intensive that a sequential approximate optimization (SAO) using radial basis function (RBF) network is adopted for the design optimization. It is found from the numerical result that the trade-off between the weldline reduction and the cycle time is observed. Based on the numerical result, the experiment using the PIM machine (GL100, Sodick) is carried out. Through the numerical and experimental result, the validity of the proposed approach is examined.
机译:当两个或更多个熔体前线相遇时形成的焊接线是塑料注射成型(PIM)中的主要缺陷之一,这不仅影响了外观,而且具有塑料产品的强度。因此,优选的是,尽可能地降低其高产品质量。另一方面,PIM中总是需要高生产率。换句话说,应最小化循环时间。为了实现高产品质量和生产率,工艺参数如熔体温度,冷却时间等发挥着重要作用。在本文中,PIM中的过程参数经过优化,可同时最小化焊缝和循环时间。特别地,采用并优化了注射速度在PIM过程中变化的可变注入速度。还提出了一种新颖的焊接评估。 PIM中的数值模拟如此密集的是,采用使用径向基函数(RBF)网络的顺序近似优化(SAO)进行设计优化。从数值结果中发现,观察到焊缝之间的折衷和循环时间之间的折衷。基于数值结果,进行使用PIM机(GL100,SOPICK)的实验。通过数值和实验结果,检查了所提出的方法的有效性。

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