基于蜂群算法的等压灌装阀阀口流道结构优化

目的为了改善等压灌装阀的灌装性能,分析阀口流道结构参数对液料流场的影响,求解流道内最大压力损失、最大液料流速和最大湍动能均最小化的约束多目标优化问题。方法基于正交试验设计和Fluent流场仿真软件对灌装阀阀口流道流场进行数值模拟,并通过回归分析建立以阀口流道结构参数为自变量的最大压力损失、最大液料流速和最大湍动能的经验方程,进而建立阀口流道结构参数约束多目标优化模型,采用约束多目标人工蜂群算法对优化模型进行求解。结果流道内最大压力损失最小化、最大液料流速最小化和最大湍动能最小化这3个目标之间存在冲突,无法同时达到最优,基于多目标人工蜂群算法获得了阀口流道结构参数的最优Pareto解集。结论约束多目标人工蜂群算法能有效用于等压灌装阀阀口流道结构参数的优化。

Structure Optimization of Isobaric Filling Valve Port Flow Channel Based on Bee Colony Algorithm

The work aims to analyze the effect of valve port flow channel structure parameter on the liquid flow field to solve the constrained multi-objective optimization problem of minimizing the maximum pressure loss, maximum liquid flow rate and maximum turbulent kinetic energy, for the purpose of improving the filling performance of isobaric filling valve. Based on the orthogonal experimental design and flow field simulation software Fluent, the flow field of filling valve port flow channel conducted the numerical simulation. Through the regression analysis, the empirical equation of maximum pressure loss, maximum liquid flow rate and maximum turbulent kinetic energy was developed with the valve port flow channel structure parameters as the independent variables. Then, the constrained multi-objective optimization model of valve port flow channel structure parameters was established. The multi-objective artificial bee colony algorithm was used to solve the optimization model. There was a conflict among the minimizing of the maximum pressure loss, maximum liquid flow rate and maximum turbulent kinetic energy and such minimizing could not be optimized at the same time. The optimal Pareto solution set of valve port flow channel structure parameters was obtained based on the multi-objective artificial bee colony algorithm. In conclusion, the multi-objective artificial bee colony algorithm can be effectively used for the optimization of the isobaric filling valve port flow channel structure parameters.