摘要
为了提升聚合物红外菲涅尔透镜的光学性能,以其表面微沟槽的成型质量为目标,提出了一种高效的注射超声辅助成型方法,并对工艺参数进行了综合质量优化。首先分析了超声振动对聚合物的加热和加压效应,设计了一套一模两腔的对比试验模具;接着以红外菲涅尔透镜的调制传递函数MTF和齿形平均高度h为优化质量目标,设计了四步骤的多目标优化流程,通过试验设计、基于BP神经网络的质量目标与注射工艺参数关系建模、基于NSGA-Ⅱ的多目标优化和试验验证进行工艺参数的综合优化。实验结果表明:该多目标优化流程具有很高的精度,MTF和h的平均预测误差MPE分别为4.16%和3.32%;注射超声辅助成型的菲涅尔透镜微沟槽具有更高的复制质量,其齿沟槽平均高度h增加了15.6%,且h值的波动量随着h值的增大而增大,MTF值受齿高h均匀性的影响大于齿高h对其的影响。
In order to improve the optical properties of a polymer infrared Fresnel lens, an efficient injection method assisted by ultrasonic was proposed to improve the quality of microgrooves on the surface of polymer infrared Fresnel lens, and optimize the process parameters comprehensively. First, the effect of ultrasonic vibration on the heating and pressurizing of polymers was analyzed, and a comparative test mold with two cavities was designed. Then, the modulation transfer function(MTF) and average height h of the infrared Fresnel lens were used as quality objectives. A four-step multi-objective optimization process was considered. The comprehensive optimization of process parameters was carried out through experimental design of the relationship between quality objectives and injection process parameters based on a back propagation neural network, and multi-objective optimization based on NSGA-Ⅱ and experimental verification. The experimental results show that the multi-objective optimization process has high accuracy, and the average prediction errors of MTF and h are 4.16% and 3.32% respectively. The Fresnel lens grooves produced by injection molding assisted by ultrasonic have higher reproduction quality. The average groove height h increased by 15.6%, and the fluctuation of h values increased with increasing h value. The MTF value is more affected by h uniformity than by h.
作者
刘军辉
陈新度
LIU Jun-hui;CHEN Xin-du(Mechanical and Electrical Engineering Institute,Heyuan Polytechnic,Heyuan 517000,China;Mechanical and Electrical Engineering Institute,Guangdong University of Technology,Guangzhou 510006,China)
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2020年第3期639-648,共10页
Optics and Precision Engineering
基金
广东省科技计划资助项目(No.2015B090921007)
广东省特色创新项目资助(No.2018GKTSCX073)。
关键词
注射超声成型
红外菲涅尔透镜
多目标优化
NSGA-Ⅱ
BP神经网络
injection assisted with ultrasonic
infrared fresnel lens
multi-objective optimization
NSGA-Ⅱ algorithm
Back Propagation(BP) neural network
