基于Kriging模型的吸开装置减振多目标优化

Multi-objective Optimization of Vibration Reduction of Suction-opening Devices Based on Kriging Model

为提高纸纱复合袋糊底机吸开装置工作平稳性和精确性,以在1阶固有频率最大化的前提下使质量最小化为优化目标,提取4个几何变量作为设计变量。首先建立吸开装置的有限元模型,采用拉丁超立方试验设计方法进行样本数据设计,其次将PSO算法与Kriging代理模型结合,用来拟合设计变量与响应之间的关系。最后利用水循环算法对装置进行多目标优化。优化结果表明,吸开装置1阶固有频率提高19.98%,基于Kriging模型和水循环算法的多目标优化方法可提高吸开装置的减振优化效率,可为纸纱复合袋糊底机的优化设计提供参考。

In order to improve the stability and accuracy of suction-opening devices of bottom-pasting machine for paper and yarn compounded bags,four geometric variables are extracted as design variables with the maximum first-order natural frequency and minimum mass as the optimization objectives.Firstly,the finite element model of the suction-opening device is established,and the Latin hypercube experimental design method is used to design the sample data.Secondly,the Kriging model optimized by PSO algorithm is used to fit the relationship between the design variables and the performance parameters of the suction-opening device.Finally,the water cycle algorithm is used for multi-objective optimization of the device.The results show that the first-order natural frequency of the suction-opening device of bottom-pasting machine for paper and yarn compounded bags is increased by 19.98%,the multi-objective optimization method based on Kriging model and water cycle algorithm can improve the vibration reduction optimization efficiency for suction-opening devices.This method provides a reference for the optimization design of bottom-pasting machines for paper-yarn compounded bags.