基于数值模拟和混合智能技术的注塑件质量综合优化

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering Pub Date : 2010-11-01 DOI:10.1109/ISKE.2010.5680796

Wei Yang, Guang Jin, Jun Zheng, Xianliang Jiang

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引用次数: 1

摘要

由于加工变量之间的耦合和非线性关系，仅用常规方法难以有效地实现注塑件质量的综合优化。针对上述问题，首先根据产品的质量要求提取质量指标，并采用包含相关指标的模糊综合评价公式对注塑件质量进行数学描述;然后将数值模拟与混合智能技术相结合，得到了近似计算和优化模型。最后，通过对某深腔壳型零件的研究，验证了上述方法的可行性和有效性。

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Comprehensive optimization of injection parts quality using numerical simulation and hybrid intelligence technology

Due to the coupling and nonlinear relationship between processing variables, it is difficult to achieve the comprehensive optimization of injection part quality effectively only by conventional methods. To solve the problem above, firstly some quality indices were extracted according to the quality requirements of the product and a fuzzy comprehensive evaluation formula including the pertinent indices was used as a mathematical description of injection parts quality. Then an approximate calculation and optimization model was obtained by combining numerical simulation with hybrid intelligence technology. Finally the method discussed above is proved to be feasible and effective by the study of a deep-cavity and shell-shape part.

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2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering

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