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中文摘要：
首先简要介绍了国内外浇口位置优化设计的研究现状，然后详细阐述了一种基于信息熵的离散变量演化算法的原理和程序实现步骤，将该算法与注塑模流动数值模拟程序相结合进行浇口位置优化设计，并将优化结果与Moldflow推荐的浇口位置进行了分析比较。算例表明，所提出的方法适用于注塑模具浇口位置优化，并且有较好的计算效率和精度。
英文摘要：
The injection molding is widely applied to make plastic products with complex shape, high precision and low cost. The placement of a gate in an injection mold is one of the most important issues in the total mold design. The quality of the molded part is greatly affected by the gate location, because it influences the manner in which the plastic flows into the mold cavity. Therefore, ultimate product quality can be greatly improved by optimizing gate location. In this paper, a gate location optimization method was developed based on minimization of the mold filling pressure, overpacking, friction heat, and temperature difference during the mold filling process. An information entropy-based multi-population evolutionary algorithm in conjunction with simulation programs was used to search the optimal gate location. The examples indicate that this method can be used effectively to obtain the optimal gate location for single-gate mold.
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Optimization of injection molding process parameters using integrated artificial neural network mode
Meshfree iterative stabilized Taylor-Galerkin and characteristic-based split (CBS) algorithms for in
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