基于响应面模型与遗传算法的空气喷涂工艺参数优化  

Optimization of air spraying process parameters by genetic algorithm combined with response surface methodology

作　　者：杨东兴 苏成志 YANG Dongxing;SU Chengzhi(School of Mechanical and Electrical Engineering,Changchun University of Science and Technology,Changchun 130022,China;School of Artificial Intelligence,Changchun University of Science and Technology,Changchun 130022,China)

机构地区：[1]长春理工大学机电工程学院,吉林长春130022 [2]长春理工大学人工智能学院,吉林长春130022

出　　处：《电镀与涂饰》2023年第8期52-59,共8页Electroplating & Finishing

基　　金：国防基础科研计划资助(JCKY2019411B001)。

摘　　要：为提高空气喷涂漆膜厚度的均匀性,提出一种基于响应面模型和遗传算法结合的优化方法。以铁板为基材,以漆料黏度、喷涂距离、喷枪移动速率、雾化气压、扇面气压和流量气压作为影响某白色聚氨酯面漆均匀度(即厚度标准差)的主要工艺参数,按正交实验法获取实验样本数据,得到关于漆膜厚度和均匀度的多项式回归响应面模型。然后运用遗传算法,以一定漆膜厚度为约束,对均匀度响应面模型进行寻优求解,并与正交实验喷涂结果进行对比。结果发现,喷涂工艺参数优化后的漆膜均匀度提高了6%~33%。运用响应面模型与遗传算法对漆膜均匀度进行单目标优化,提高了优化效率和漆膜均匀度,为之后的机器人喷涂工艺参数设置提供了有效的优化方法。An optimization method based on the combination of response surface model and genetic algorithm was proposed to improve the uniformity of air sprayed coatings.Taking iron plate as the substrate,the paint viscosity,spraying distance,gun movement rate,atomization air pressure,shaping air pressure,and flow-control air pressure were examined as the main process parameters affecting the uniformity of a white polyurethane coating,which was characterized by the standard deviation of the measured thickness values.The sample data was obtained based on the orthogonal experiment,and the polynomial regression response surface models about the thickness and uniformity of coating were established.The genetic algorithm was then applied to find the optimal solution for the uniformity response surface model with a certain coating thickness as a constraint.As compared with the results of orthogonal experiment,the uniformity of the coating was improved by 6%to 33%after optimization of the spraying process parameters.The single-objective optimization of coating uniformity using the response surface model and genetic algorithm can improve the optimization efficiency and practical coating uniformity.This optimization method is also applicable for determination of the subsequent robot spraying process parameters.

关 键 词：空气喷涂 厚度均匀性 标准差 正交实验 响应面法 遗传算法 优化 

分 类 号：TQ639.2[化学工程—精细化工]