Simultaneous optimization of variable injection velocity profile and process parameters in plastic injection molding for minimizing weldline and cycle time
Simultaneous optimization of variable injection velocity profile and process parameters in plastic injection molding for minimizing weldline and cycle time
复制标题
DOI：
10.1299/jamdsm.2020jamdsm0029
复制
发表时间：
2020-01-01
影响因子：
0.9
通讯作者：
Aiba, Shuji
中科院分区：
文献类型：
--
作者：
Hashimoto, Sara;Kitayama, Satoshi;Aiba, Shuji
两个或多个熔体前沿相遇时形成的熔接线是塑料注射成型（PIM）的主要缺陷之一，它不仅影响塑料制品的外观，而且影响塑料制品的强度。因此，为了获得高产品质量，最好尽可能地减少它。另一方面，PIM 始终需要高生产率。换句话说，应尽量缩短周期时间。为了实现高产品质量和生产率，熔体温度、冷却时间等工艺参数起着重要作用。在本文中，对 PIM 中的工艺参数进行了优化，以同时最小化熔接线和周期时间。特别是采用并优化了在PIM过程中注射速度变化的可变注射速度。还提出了一种新颖的焊缝评估。 PIM 中的数值模拟非常密集，以至于采用使用径向基函数 (RBF) 网络的序贯近似优化 (SAO) 来进行设计优化。从数值结果可以看出，焊缝减少量和循环时间之间存在权衡关系。基于数值结果，使用PIM机（GL100，Sodick）进行了实验。通过数值和实验结果，检验了所提出方法的有效性。
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.