基于BP神经网络的玩具汽车用塑料齿轮模具成型优化设计  

Optimal Design of Plastic Gear Mold Forming for Toy Cars Based on BP Neural Network

作　　者：李方初[1] LI Fang-chu(Fuzhou University Zhicheng College,Fuzhou 350002,China)

机构地区：[1]福州大学至诚学院,福建福州350002

出　　处：《塑料科技》2020年第12期95-99,共5页Plastics Science and Technology

基　　金：福建省“十三五”教育科学规划本科教改项目(FBJG20190186)。

摘　　要：针对注塑工艺参数对塑料齿轮加工性能的影响进行研究,利用BP神经网络建立了塑料齿轮工艺参数的优化模型。通过Pro/E软件建立了塑料齿轮的参数化三维模型,在Plastic Advisor中选取聚丙烯作为注塑材料进行了仿真分析。结果表明:塑料齿轮的中心位置为最佳注射位置,且注射位置对总注塑时间基本没有影响。距离最佳注射位置越近,最大塑化压力越大,最佳注射位置的最大塑化压力为0.35 MPa。最佳注射位置的低温分布最少,塑料熔体流动性最好,由温度产生的热应力也越小,保压能力最强。最佳注射位置的高级质量与中级质量塑料制品的比值比其他注射位置大。Aiming at the influence of injection molding process parameters on the processing performance of plastic gears,an optimization model of plastic gear process parameters was established using BP neural network.A parametric threedimensional model of the plastic gear was established by Pro/E software,and polypropylene was selected as the injection material in Plastic Advisor for simulation analysis.The simulation results show that the center position of the plastic gear is the best injection position,and the injection position has basically no effect on the total injection time.The closer to the optimal injection position,the greater the maximum plasticizing pressure,and the maximum plasticizing pressure at the optimal injection position is 0.35 MPa.The best injection position has the least low temperature distribution,the plastic melt has the best fluidity,the thermal stress generated by the temperature is also smaller,and the pressure holding capacity is the strongest.The ratio of high-quality to intermediate-quality plastic products at the best injection position is larger than other injection positions.

关 键 词：玩具汽车 塑料齿轮 BP神经网络 注塑成型 注射位置 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] TQ325.12[自动化与计算机技术—计算机科学与技术]