首页> 美国卫生研究院文献>Materials >Warpage Optimisation on the Moulded Part with Straight Drilled and Conformal Cooling Channels Using Response Surface Methodology (RSM) Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches
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Warpage Optimisation on the Moulded Part with Straight Drilled and Conformal Cooling Channels Using Response Surface Methodology (RSM) Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches

机译:使用响应表面方法(RSM)萤火虫群优化(GSO)和遗传算法(GA)优化方法用直钻和保形冷却通道的模压部分上的翘曲优化

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摘要

It is quite challenging to control both quality and productivity of products produced using injection molding process. Although many previous researchers have used different types of optimisation approaches to obtain the best configuration of parameters setting to control the quality of the molded part, optimisation approaches in maximising the performance of cooling channels to enhance the process productivity by decreasing the mould cycle time remain lacking. In this study, optimisation approaches namely Response Surface Methodology (RSM), Genetic Algorithm (GA) and Glowworm Swarm Optimisation (GSO) were employed on front panel housing moulded using Acrylonitrile Butadiene Styrene (ABS). Each optimisation method was analysed for both straight drilled and Milled Groove Square Shape (MGSS) conformal cooling channel moulds. Results from experimental works showed that, the performance of MGSS conformal cooling channels could be enhanced by employing the optimisation approach. Therefore, this research provides useful scientific knowledge and an alternative solution for the plastic injection moulding industry to improve the quality of moulded parts in terms of deformation using the proposed optimisation approaches in the used of conformal cooling channels mould.
机译:控制使用注塑过程生产的产品的质量和生产力是非常具有挑战性的。虽然以前的许多研究人员使用了不同类型的优化方法,以获得参数设定的最佳配置,以控制模压部分的质量,优化方法在最大化冷却通道的性能下,通过降低模具循环时间来提高过程生产率的性能仍然缺乏。在本研究中,优化方法即响应表面方法(RSM),遗传算法(GA)和萤火虫群优化(GSO)在使用丙烯腈丁二烯苯乙烯(ABS)模制的前面板壳体上采用。针对直钻和铣削槽方形(MGSS)共形冷却通道模具的分析了每个优化方法。实验工程的结果表明,通过采用优化方法,可以增强MGSS集合冷却通道的性能。因此,本研究为塑料注塑工业提供了有用的科学知识和替代解决方案,以改善模塑部件的质量,在使用的拟议冷却通道模具中使用所提出的优化方法。

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