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Optimal design of medium channels for water-assisted rapid thermal cycle mold using multi-objective evolutionary algorithm and multi-attribute decision-making method

机译:多目标进化算法和多属性决策方法的水辅助快速热循环模具介质通道的优化设计

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摘要

Rapid heat cycle molding technology developed recently is a novel polymer injection molding process. In this study, a new water-assisted rapid heat cycle molding (WRHCM) mold used for producing a large-size air-conditioning plastic panel was investigated. Aiming at improving heating efficiency and temperature distribution uniformity of the mold cavity surface, a two-stage optimization approach was proposed to determine the optimal design parameters of medium channels for the WRHCM mold. First of all, the non-dominated sorting genetic algorithm-II (NSGA-II) combined with surrogate models was employed to search the Pareto-optimal solutions. Subsequently, the Technique for Order Preference by Similarity to Ideal Solution was adopted as a multi-attribute decision-making method to determine the best compromise solution from the Pareto set. Then, the layout of the medium channels for this air-conditioning panel WRHCM mold was optimized based on the developed optimization method. It was indicated that the heating efficiency and temperature distribution uniformity on the mold cavity surface were greatly improved by using the optimal design results. Furthermore, the effectiveness of the optimization method proposed in this study was validated by an industrial application.
机译:最近开发的快速热循环成型技术是一种新颖的聚合物注射成型工艺。在这项研究中,研究了一种用于生产大型空调塑料面板的新型水辅助快速热循环成型(WRHCM)模具。为了提高模具型腔表面的加热效率和温度分布均匀性,提出了一种两阶段的优化方法来确定WRHCM模具的介质通道的最佳设计参数。首先,将非主导排序遗传算法-II(NSGA-II)与替代模型相结合,以搜索帕累托最优解。随后,采用类似于理想解决方案的订单偏好技术作为多属性决策方法,以从帕累托集合中确定最佳折衷解决方案。然后,基于开发的优化方法,对该空调面板WRHCM模具的介质通道布局进行了优化。结果表明,采用最佳设计结果,可大大提高型腔表面的加热效率和温度分布均匀性。此外,本研究中提出的优化方法的有效性已通过工业应用得到了验证。

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