中国机械工程2016，Vol.27Issue(13)：1716-1720,1721,6.DOI:10.3969/j.issn.1004-132X.2016.13.003
基于多目标遗传算法的贝塞尔超声变幅杆优化设计方法研究
Optimal Design Method for Bezier Ultrasonic Horn Based on Multi-objective Genetic Algorithm
摘要
Abstract
In order to design high performance ultrasonic horn that was used to manufacture hon-eycomb composite material,a new approach was put forward to design ultrasonic horn based on multi-obj ective genetic algorithm.By using structural parameters of the ultrasonic horn as design variables, the resonant frequency and amplification factor as optimization goals,an optimization mathematical model of the Bezier ultrasonic horn was established.To get the parameters for calculating fitness func-tion,a finite model and dynamics analysis of ultrasonic horn were carried out by calling ANSYS soft-ware from genetic algorithms,and the Pareto-optimal solution set was obtained by genetic algorithm, then,the most suitable parameters of ultrasonic horn were chosen for horn design.At last,the per-formance test of ultrasonic horn and trial cut experiment of honeycomb composite material show that amplification factor of optimized ultrasonic horn is as 7.66,it is 29 percent higher,and the working frequency is closer to design frequency than un-optimized ultrasonic horn.Simulation and experimental results confirm the reliability and validity of the proposed design method.关键词
贝塞尔超声变幅杆/多目标优化/遗传算法/蜂窝复合材料Key words
Bezier ultrasonic horn/multi-obj ective optimization/genetic algorithm/honeycomb composite material分类
机械工程引用本文复制引用
纪华伟,赵双双,胡小平..基于多目标遗传算法的贝塞尔超声变幅杆优化设计方法研究[J].中国机械工程,2016,27(13):1716-1720,1721,6.基金项目
国家自然科学基金资助项目(51475130) （51475130）
国防科工局重大专项(A3920133001) （A3920133001）
