论文部分内容阅读
基于数值模拟和人工神经网络模型以及对智能控制工艺过程的适当简化,为拉伸样模型的注射过程建立了一套智能化控制仿真系统.研究表明,该系统能够根据样品对性能的要求(如密度分布),自动进行注射工艺参数的优化.采用优化后的注射工艺参数重新进行注射过程模拟计算后,发现注射坯密度分布的均匀性较调整前有显著提高,基本符合预期的密度要求,证明智能化控制仿真系统可行.
Based on the numerical simulation and artificial neural network model and the appropriate simplification of the intelligent control process, a set of intelligent control simulation system is established for the injection process of the tensile model.The research shows that the system can be based on the sample performance requirements Density distribution), the parameters of the injection process were automatically optimized.After the injection process parameters were optimized, the injection process simulation was carried out again, and the uniformity of the distribution of the density of the injection mold was significantly improved compared with that before the adjustment, basically in line with the expected density requirements, Intelligent control simulation system is feasible.