摘要
以汽车某饰件为研究对象,将塑件x方向翘曲变形量作为优化目标,对注塑工艺参数进行优化。基于华塑CAE软件对塑件进行正交试验设计,通过极差分析得到对变形影响较大的三个参数,通过响应面法构建与x方向翘曲变形相对应的拟合度较高模型。以塑件x方向翘曲变形最小值为目标,对响应面模型进行遗传算法和粒子群混合算法寻优,得到塑件的最佳工艺参数,经验证得到x方向翘曲变形值优化结果为0.58,与初始方案相比翘曲变形降低了21.62%。结果表明,结合响应面模型和遗传-粒子群混合算法能够有效的降低塑件的翘曲变形,适应实际生产的复杂情况。
Taking automobile trim as the research object and the x-direction warping deformation of plastic parts as the optimization target,the injection molding process parameters were optimized.Based on the computer aided engineering(CAE)software of Huasu,orthogonal experimental design was carried out on the plastic parts.Three parameters which had great influence on the deformation were obtained through the range analysis of factors.A model with high fitting degree relative to the warping deformation in the x-direction was constructed by response surface method.Aiming at the minimum value of warping deformation in x-direction of plastic parts,the response surface model was optimized by genetic algorithm and particle swarm optimization,and the optimal process parameters of plastic parts were obtained.After verifying the optimization results,the x-direction warping deformation value is 0.58,which is 21.62%lower than the original scheme.The optimization results are verified.The results show that the response surface model combined with the genetic-particle swarm optimization algorithm can effectively reduce the warping deformation of plastic parts and adapt to the complex situation of actual production.
作者
马旭东
高文嫱
谢允聪
MA Xu-dong;GAO Wen-qiang;XIE Yun-cong(Changchun Automobile Industry Institute,Changchun 130013,China;SAIC Volkswagen Automotive Co.,Ltd.,Shanghai 201805,China)
出处
《塑料工业》
CAS
CSCD
北大核心
2020年第11期66-70,50,共6页
China Plastics Industry
关键词
注塑成型
响应面法
遗传算法
粒子群算法
Injection Molding
Response Surface Method
Genetic Algorithm
Particle Swarm Optimization
