首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Multi-objective optimization of variable packing pressure profile and process parameters in plastic injection molding for minimizing warpage and cycle time
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Multi-objective optimization of variable packing pressure profile and process parameters in plastic injection molding for minimizing warpage and cycle time

机译:可变填料压力曲线的多目标优化和注塑成型中的过程参数,以最大限度地减少翘曲和循环时间

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摘要

Process parameters in plastic injection molding (PIM) such as the packing pressure, the melt temperature, and the cooling time have a direct influence on the product quality. It is important to determine the optimal process parameters for high product quality. In addition to the product quality, high productivity is required to plastic products. This paper proposes a method to determine the optimal process parameters in the PIM for high product quality and high productivity. A constant packing pressure during the PIM is conventionally used, but the variable packing pressure profile that the packing pressure varies in the packing phase is adopted as the advanced PIM. Warpage and cycle time are taken as the product quality and the productivity, respectively. Then, these are simultaneously minimized and the pareto-frontier between them is identified. Numerical simulation in the PIM is so intensive that a sequential approximate optimization using radial basis function is adopted. It is found through the numerical result that the variable packing pressure profile can improve both the warpage and the cycle time, compared with the conventional PIM approach. In order to examine the validity of the proposed approach, the experiment is carried out. It is confirmed through the numerical and experimental results that the proposed approach is valid for minimizing the warpage and the cycle time.
机译:塑料注射成型(PIM)中的工艺参数,例如填料压力,熔融温度,冷却时间对产品质量有直接影响。重要的是要确定高产品质量的最佳过程参数。除产品质量外,塑料产品需要高生产率。本文提出了一种方法来确定PIM以高产品质量和高生产率的最佳过程参数。传统上使用PIM期间的恒定填充压力,但是填充压力在填充阶段变化的可变填充压力轮廓被用作高级PIM。翘曲和循环时间分别作为产品质量和生产率。然后,这些同时最小化,并且识别它们之间的据静电。 PIM中的数值模拟是如此密集,采用了使用径向基函数的顺序近似优化。通过数值结果发现,与传统PIM方法相比,通过数值结果可以改善翘曲和循环时间来改善翘曲。为了检查所提出的方法的有效性,进行实验。通过数值和实验结果确认,所提出的方法是有效的,用于最小化翘曲和循环时间。

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